Overview

Dataset statistics

Number of variables195
Number of observations8378
Missing cells432016
Missing cells (%)26.4%
Total size in memory12.5 MiB
Average record size in memory1.5 KiB

Variable types

Numeric187
Categorical8

Alerts

field has a high cardinality: 259 distinct values High cardinality
undergra has a high cardinality: 241 distinct values High cardinality
mn_sat has a high cardinality: 68 distinct values High cardinality
tuition has a high cardinality: 115 distinct values High cardinality
from has a high cardinality: 269 distinct values High cardinality
zipcode has a high cardinality: 409 distinct values High cardinality
income has a high cardinality: 261 distinct values High cardinality
career has a high cardinality: 367 distinct values High cardinality
positin1 has 1846 (22.0%) missing values Missing
int_corr has 158 (1.9%) missing values Missing
age_o has 104 (1.2%) missing values Missing
pf_o_att has 89 (1.1%) missing values Missing
pf_o_sin has 89 (1.1%) missing values Missing
pf_o_int has 89 (1.1%) missing values Missing
pf_o_fun has 98 (1.2%) missing values Missing
pf_o_amb has 107 (1.3%) missing values Missing
pf_o_sha has 129 (1.5%) missing values Missing
attr_o has 212 (2.5%) missing values Missing
sinc_o has 287 (3.4%) missing values Missing
intel_o has 306 (3.7%) missing values Missing
fun_o has 360 (4.3%) missing values Missing
amb_o has 722 (8.6%) missing values Missing
shar_o has 1076 (12.8%) missing values Missing
like_o has 250 (3.0%) missing values Missing
prob_o has 318 (3.8%) missing values Missing
met_o has 385 (4.6%) missing values Missing
age has 95 (1.1%) missing values Missing
undergra has 3464 (41.3%) missing values Missing
mn_sat has 5245 (62.6%) missing values Missing
tuition has 4795 (57.2%) missing values Missing
zipcode has 1064 (12.7%) missing values Missing
income has 4099 (48.9%) missing values Missing
date has 97 (1.2%) missing values Missing
career has 89 (1.1%) missing values Missing
career_c has 138 (1.6%) missing values Missing
exphappy has 101 (1.2%) missing values Missing
expnum has 6578 (78.5%) missing values Missing
fun1_1 has 89 (1.1%) missing values Missing
amb1_1 has 99 (1.2%) missing values Missing
shar1_1 has 121 (1.4%) missing values Missing
attr4_1 has 1889 (22.5%) missing values Missing
sinc4_1 has 1889 (22.5%) missing values Missing
intel4_1 has 1889 (22.5%) missing values Missing
fun4_1 has 1889 (22.5%) missing values Missing
amb4_1 has 1889 (22.5%) missing values Missing
shar4_1 has 1911 (22.8%) missing values Missing
amb2_1 has 89 (1.1%) missing values Missing
shar2_1 has 89 (1.1%) missing values Missing
attr3_1 has 105 (1.3%) missing values Missing
sinc3_1 has 105 (1.3%) missing values Missing
fun3_1 has 105 (1.3%) missing values Missing
intel3_1 has 105 (1.3%) missing values Missing
amb3_1 has 105 (1.3%) missing values Missing
attr5_1 has 3472 (41.4%) missing values Missing
sinc5_1 has 3472 (41.4%) missing values Missing
intel5_1 has 3472 (41.4%) missing values Missing
fun5_1 has 3472 (41.4%) missing values Missing
amb5_1 has 3472 (41.4%) missing values Missing
attr has 202 (2.4%) missing values Missing
sinc has 277 (3.3%) missing values Missing
intel has 296 (3.5%) missing values Missing
fun has 350 (4.2%) missing values Missing
amb has 712 (8.5%) missing values Missing
shar has 1067 (12.7%) missing values Missing
like has 240 (2.9%) missing values Missing
prob has 309 (3.7%) missing values Missing
met has 375 (4.5%) missing values Missing
match_es has 1173 (14.0%) missing values Missing
attr1_s has 4282 (51.1%) missing values Missing
sinc1_s has 4282 (51.1%) missing values Missing
intel1_s has 4282 (51.1%) missing values Missing
fun1_s has 4282 (51.1%) missing values Missing
amb1_s has 4282 (51.1%) missing values Missing
shar1_s has 4282 (51.1%) missing values Missing
attr3_s has 4378 (52.3%) missing values Missing
sinc3_s has 4378 (52.3%) missing values Missing
intel3_s has 4378 (52.3%) missing values Missing
fun3_s has 4378 (52.3%) missing values Missing
amb3_s has 4378 (52.3%) missing values Missing
satis_2 has 915 (10.9%) missing values Missing
length has 915 (10.9%) missing values Missing
numdat_2 has 945 (11.3%) missing values Missing
attr7_2 has 6394 (76.3%) missing values Missing
sinc7_2 has 6423 (76.7%) missing values Missing
intel7_2 has 6394 (76.3%) missing values Missing
fun7_2 has 6394 (76.3%) missing values Missing
amb7_2 has 6423 (76.7%) missing values Missing
shar7_2 has 6404 (76.4%) missing values Missing
attr1_2 has 933 (11.1%) missing values Missing
sinc1_2 has 915 (10.9%) missing values Missing
intel1_2 has 915 (10.9%) missing values Missing
fun1_2 has 915 (10.9%) missing values Missing
amb1_2 has 915 (10.9%) missing values Missing
shar1_2 has 915 (10.9%) missing values Missing
attr4_2 has 2603 (31.1%) missing values Missing
sinc4_2 has 2603 (31.1%) missing values Missing
intel4_2 has 2603 (31.1%) missing values Missing
fun4_2 has 2603 (31.1%) missing values Missing
amb4_2 has 2603 (31.1%) missing values Missing
shar4_2 has 2603 (31.1%) missing values Missing
attr2_2 has 2603 (31.1%) missing values Missing
sinc2_2 has 2603 (31.1%) missing values Missing
intel2_2 has 2603 (31.1%) missing values Missing
fun2_2 has 2603 (31.1%) missing values Missing
amb2_2 has 2603 (31.1%) missing values Missing
shar2_2 has 2603 (31.1%) missing values Missing
attr3_2 has 915 (10.9%) missing values Missing
sinc3_2 has 915 (10.9%) missing values Missing
intel3_2 has 915 (10.9%) missing values Missing
fun3_2 has 915 (10.9%) missing values Missing
amb3_2 has 915 (10.9%) missing values Missing
attr5_2 has 4001 (47.8%) missing values Missing
sinc5_2 has 4001 (47.8%) missing values Missing
intel5_2 has 4001 (47.8%) missing values Missing
fun5_2 has 4001 (47.8%) missing values Missing
amb5_2 has 4001 (47.8%) missing values Missing
you_call has 4404 (52.6%) missing values Missing
them_cal has 4404 (52.6%) missing values Missing
date_3 has 4404 (52.6%) missing values Missing
numdat_3 has 6882 (82.1%) missing values Missing
num_in_3 has 7710 (92.0%) missing values Missing
attr1_3 has 4404 (52.6%) missing values Missing
sinc1_3 has 4404 (52.6%) missing values Missing
intel1_3 has 4404 (52.6%) missing values Missing
fun1_3 has 4404 (52.6%) missing values Missing
amb1_3 has 4404 (52.6%) missing values Missing
shar1_3 has 4404 (52.6%) missing values Missing
attr7_3 has 6362 (75.9%) missing values Missing
sinc7_3 has 6362 (75.9%) missing values Missing
intel7_3 has 6362 (75.9%) missing values Missing
fun7_3 has 6362 (75.9%) missing values Missing
amb7_3 has 6362 (75.9%) missing values Missing
shar7_3 has 6362 (75.9%) missing values Missing
attr4_3 has 5419 (64.7%) missing values Missing
sinc4_3 has 5419 (64.7%) missing values Missing
intel4_3 has 5419 (64.7%) missing values Missing
fun4_3 has 5419 (64.7%) missing values Missing
amb4_3 has 5419 (64.7%) missing values Missing
shar4_3 has 5419 (64.7%) missing values Missing
attr2_3 has 5419 (64.7%) missing values Missing
sinc2_3 has 5419 (64.7%) missing values Missing
intel2_3 has 5419 (64.7%) missing values Missing
fun2_3 has 5419 (64.7%) missing values Missing
amb2_3 has 5419 (64.7%) missing values Missing
shar2_3 has 6362 (75.9%) missing values Missing
attr3_3 has 4404 (52.6%) missing values Missing
sinc3_3 has 4404 (52.6%) missing values Missing
intel3_3 has 4404 (52.6%) missing values Missing
fun3_3 has 4404 (52.6%) missing values Missing
amb3_3 has 4404 (52.6%) missing values Missing
attr5_3 has 6362 (75.9%) missing values Missing
sinc5_3 has 6362 (75.9%) missing values Missing
intel5_3 has 6362 (75.9%) missing values Missing
fun5_3 has 6362 (75.9%) missing values Missing
amb5_3 has 6362 (75.9%) missing values Missing
gender has 4184 (49.9%) zeros Zeros
match has 6998 (83.5%) zeros Zeros
samerace has 5062 (60.4%) zeros Zeros
pf_o_sin has 208 (2.5%) zeros Zeros
pf_o_amb has 825 (9.8%) zeros Zeros
pf_o_sha has 713 (8.5%) zeros Zeros
dec_o has 4863 (58.0%) zeros Zeros
expnum has 114 (1.4%) zeros Zeros
sinc1_1 has 208 (2.5%) zeros Zeros
amb1_1 has 825 (9.8%) zeros Zeros
shar1_1 has 713 (8.5%) zeros Zeros
sinc4_1 has 363 (4.3%) zeros Zeros
intel4_1 has 125 (1.5%) zeros Zeros
amb4_1 has 563 (6.7%) zeros Zeros
shar4_1 has 271 (3.2%) zeros Zeros
sinc2_1 has 430 (5.1%) zeros Zeros
intel2_1 has 254 (3.0%) zeros Zeros
amb2_1 has 609 (7.3%) zeros Zeros
shar2_1 has 553 (6.6%) zeros Zeros
dec has 4860 (58.0%) zeros Zeros
met has 4047 (48.3%) zeros Zeros
match_es has 616 (7.4%) zeros Zeros
sinc1_s has 88 (1.1%) zeros Zeros
amb1_s has 166 (2.0%) zeros Zeros
shar1_s has 129 (1.5%) zeros Zeros
sinc7_2 has 173 (2.1%) zeros Zeros
amb7_2 has 536 (6.4%) zeros Zeros
shar7_2 has 213 (2.5%) zeros Zeros
sinc1_2 has 205 (2.4%) zeros Zeros
intel1_2 has 151 (1.8%) zeros Zeros
amb1_2 has 894 (10.7%) zeros Zeros
shar1_2 has 528 (6.3%) zeros Zeros
sinc4_2 has 195 (2.3%) zeros Zeros
intel4_2 has 98 (1.2%) zeros Zeros
amb4_2 has 467 (5.6%) zeros Zeros
shar4_2 has 288 (3.4%) zeros Zeros
sinc2_2 has 200 (2.4%) zeros Zeros
amb2_2 has 298 (3.6%) zeros Zeros
shar2_2 has 303 (3.6%) zeros Zeros
you_call has 2430 (29.0%) zeros Zeros
them_cal has 1975 (23.6%) zeros Zeros
date_3 has 2476 (29.6%) zeros Zeros
numdat_3 has 293 (3.5%) zeros Zeros
num_in_3 has 159 (1.9%) zeros Zeros
sinc1_3 has 145 (1.7%) zeros Zeros
amb1_3 has 428 (5.1%) zeros Zeros
shar1_3 has 261 (3.1%) zeros Zeros
sinc7_3 has 183 (2.2%) zeros Zeros
intel7_3 has 85 (1.0%) zeros Zeros
amb7_3 has 509 (6.1%) zeros Zeros
shar7_3 has 316 (3.8%) zeros Zeros
sinc4_3 has 138 (1.6%) zeros Zeros
intel4_3 has 93 (1.1%) zeros Zeros
amb4_3 has 290 (3.5%) zeros Zeros
shar4_3 has 131 (1.6%) zeros Zeros
sinc2_3 has 196 (2.3%) zeros Zeros
intel2_3 has 132 (1.6%) zeros Zeros
amb2_3 has 296 (3.5%) zeros Zeros
shar2_3 has 154 (1.8%) zeros Zeros

Reproduction

Analysis started2022-06-09 06:56:43.473144
Analysis finished2022-06-09 06:56:44.297753
Duration0.82 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

iid
Real number (ℝ≥0)

Distinct551
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean283.675937
Minimum1
Maximum552
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:44.395806image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34
Q1154
median281
Q3407
95-th percentile533
Maximum552
Range551
Interquartile range (IQR)253

Descriptive statistics

Standard deviation158.5833666
Coefficient of variation (CV)0.5590300265
Kurtosis-1.126671777
Mean283.675937
Median Absolute Deviation (MAD)127
Skewness-0.00194069425
Sum2376637
Variance25148.68416
MonotonicityIncreasing
2022-06-09T08:56:44.494478image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55222
 
0.3%
53022
 
0.3%
52822
 
0.3%
52722
 
0.3%
52622
 
0.3%
52522
 
0.3%
52422
 
0.3%
52322
 
0.3%
52222
 
0.3%
52122
 
0.3%
Other values (541)8158
97.4%
ValueCountFrequency (%)
110
0.1%
210
0.1%
310
0.1%
410
0.1%
510
0.1%
ValueCountFrequency (%)
55222
0.3%
55122
0.3%
55022
0.3%
54922
0.3%
54822
0.3%

id
Real number (ℝ≥0)

Distinct22
Distinct (%)0.3%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean8.960248299
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:44.571439image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q313
95-th percentile19
Maximum22
Range21
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.49132948
Coefficient of variation (CV)0.6128546104
Kurtosis-0.871631466
Mean8.960248299
Median Absolute Deviation (MAD)4
Skewness0.3768839549
Sum75060
Variance30.15469946
MonotonicityNot monotonic
2022-06-09T08:56:44.626730image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1552
 
6.6%
2552
 
6.6%
6552
 
6.6%
4547
 
6.5%
5547
 
6.5%
3541
 
6.5%
7505
 
6.0%
8505
 
6.0%
10480
 
5.7%
9479
 
5.7%
Other values (12)3117
37.2%
ValueCountFrequency (%)
1552
6.6%
2552
6.6%
3541
6.5%
4547
6.5%
5547
6.5%
ValueCountFrequency (%)
2243
 
0.5%
2186
 
1.0%
20160
1.9%
19178
2.1%
18237
2.8%

gender
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5005968011
Minimum0
Maximum1
Zeros4184
Zeros (%)49.9%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:44.678829image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5000294865
Coefficient of variation (CV)0.9988667235
Kurtosis-2.00047191
Mean0.5005968011
Median Absolute Deviation (MAD)0
Skewness-0.002387633788
Sum4194
Variance0.2500294874
MonotonicityNot monotonic
2022-06-09T08:56:44.729591image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
14194
50.1%
04184
49.9%
ValueCountFrequency (%)
04184
49.9%
14194
50.1%
ValueCountFrequency (%)
14194
50.1%
04184
49.9%

idg
Real number (ℝ≥0)

Distinct44
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.32716639
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:44.795439image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q326
95-th percentile37
Maximum44
Range43
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.94073499
Coefficient of variation (CV)0.6314208996
Kurtosis-0.8603762368
Mean17.32716639
Median Absolute Deviation (MAD)9
Skewness0.3805722628
Sum145167
Variance119.6996821
MonotonicityNot monotonic
2022-06-09T08:56:44.864544image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1277
 
3.3%
5277
 
3.3%
3277
 
3.3%
6276
 
3.3%
10276
 
3.3%
8276
 
3.3%
9276
 
3.3%
7276
 
3.3%
2275
 
3.3%
4275
 
3.3%
Other values (34)5617
67.0%
ValueCountFrequency (%)
1277
3.3%
2275
3.3%
3277
3.3%
4275
3.3%
5277
3.3%
ValueCountFrequency (%)
4422
 
0.3%
4322
 
0.3%
4243
0.5%
4143
0.5%
4063
0.8%

condtn
Real number (ℝ≥0)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.828837431
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:44.924316image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.376673438
Coefficient of variation (CV)0.2059633249
Kurtosis1.050250863
Mean1.828837431
Median Absolute Deviation (MAD)0
Skewness-1.746424978
Sum15322
Variance0.1418828789
MonotonicityNot monotonic
2022-06-09T08:56:44.974714image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
26944
82.9%
11434
 
17.1%
ValueCountFrequency (%)
11434
 
17.1%
26944
82.9%
ValueCountFrequency (%)
26944
82.9%
11434
 
17.1%

wave
Real number (ℝ≥0)

Distinct21
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.35091907
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:45.031701image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median11
Q315
95-th percentile21
Maximum21
Range20
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.995903041
Coefficient of variation (CV)0.5282306219
Kurtosis-1.020942794
Mean11.35091907
Median Absolute Deviation (MAD)4
Skewness0.02466811864
Sum95098
Variance35.95085328
MonotonicityIncreasing
2022-06-09T08:56:45.143535image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
21968
11.6%
11882
10.5%
9800
9.5%
14720
8.6%
15684
 
8.2%
4648
 
7.7%
2608
 
7.3%
7512
 
6.1%
19450
 
5.4%
12392
 
4.7%
Other values (11)1714
20.5%
ValueCountFrequency (%)
1200
 
2.4%
2608
7.3%
3200
 
2.4%
4648
7.7%
5190
 
2.3%
ValueCountFrequency (%)
21968
11.6%
2084
 
1.0%
19450
5.4%
1872
 
0.9%
17280
 
3.3%

round
Real number (ℝ≥0)

Distinct15
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.87204583
Minimum5
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:45.203988image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9
Q114
median18
Q320
95-th percentile22
Maximum22
Range17
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.358458454
Coefficient of variation (CV)0.2583242422
Kurtosis-0.3050680289
Mean16.87204583
Median Absolute Deviation (MAD)3
Skewness-0.8400785438
Sum141354
Variance18.9961601
MonotonicityNot monotonic
2022-06-09T08:56:45.259332image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
181350
16.1%
201160
13.8%
22968
11.6%
21882
10.5%
10880
10.5%
16816
9.7%
19646
7.7%
14532
 
6.3%
15450
 
5.4%
9252
 
3.0%
Other values (5)442
 
5.3%
ValueCountFrequency (%)
550
 
0.6%
6162
1.9%
742
 
0.5%
848
 
0.6%
9252
3.0%
ValueCountFrequency (%)
22968
11.6%
21882
10.5%
201160
13.8%
19646
7.7%
181350
16.1%

position
Real number (ℝ≥0)

Distinct22
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.042730962
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:45.321422image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q313
95-th percentile19
Maximum22
Range21
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.514938987
Coefficient of variation (CV)0.6098753805
Kurtosis-0.8894371129
Mean9.042730962
Median Absolute Deviation (MAD)4
Skewness0.3655843721
Sum75760
Variance30.41455203
MonotonicityNot monotonic
2022-06-09T08:56:45.377064image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3554
 
6.6%
2554
 
6.6%
6544
 
6.5%
4544
 
6.5%
1526
 
6.3%
8518
 
6.2%
5510
 
6.1%
7502
 
6.0%
9502
 
6.0%
10456
 
5.4%
Other values (12)3168
37.8%
ValueCountFrequency (%)
1526
6.3%
2554
6.6%
3554
6.6%
4544
6.5%
5510
6.1%
ValueCountFrequency (%)
2244
 
0.5%
2186
 
1.0%
20162
1.9%
19194
2.3%
18268
3.2%

positin1
Real number (ℝ≥0)

MISSING

Distinct22
Distinct (%)0.3%
Missing1846
Missing (%)22.0%
Infinite0
Infinite (%)0.0%
Mean9.295774648
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:45.438235image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median9
Q314
95-th percentile19
Maximum22
Range21
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.650199398
Coefficient of variation (CV)0.6078244807
Kurtosis-0.9514094072
Mean9.295774648
Median Absolute Deviation (MAD)5
Skewness0.3266999105
Sum60720
Variance31.92475324
MonotonicityNot monotonic
2022-06-09T08:56:45.496470image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2418
 
5.0%
3418
 
5.0%
4418
 
5.0%
6408
 
4.9%
1404
 
4.8%
5396
 
4.7%
7381
 
4.5%
9369
 
4.4%
8353
 
4.2%
10337
 
4.0%
Other values (12)2630
31.4%
(Missing)1846
22.0%
ValueCountFrequency (%)
1404
4.8%
2418
5.0%
3418
5.0%
4418
5.0%
5396
4.7%
ValueCountFrequency (%)
2244
 
0.5%
2186
1.0%
20162
1.9%
19180
2.1%
18199
2.4%

order
Real number (ℝ≥0)

Distinct22
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.927667701
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:45.557649image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q313
95-th percentile19
Maximum22
Range21
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.47700944
Coefficient of variation (CV)0.6134871529
Kurtosis-0.8598810265
Mean8.927667701
Median Absolute Deviation (MAD)4
Skewness0.3853053685
Sum74796
Variance29.9976324
MonotonicityNot monotonic
2022-06-09T08:56:45.614158image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4551
 
6.6%
5551
 
6.6%
1551
 
6.6%
2551
 
6.6%
3551
 
6.6%
6541
 
6.5%
7514
 
6.1%
8508
 
6.1%
9502
 
6.0%
10474
 
5.7%
Other values (12)3084
36.8%
ValueCountFrequency (%)
1551
6.6%
2551
6.6%
3551
6.6%
4551
6.6%
5551
6.6%
ValueCountFrequency (%)
2244
 
0.5%
2186
 
1.0%
20144
1.7%
19178
2.1%
18253
3.0%

partner
Real number (ℝ≥0)

Distinct22
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.96359513
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:45.673887image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q313
95-th percentile19
Maximum22
Range21
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.491068383
Coefficient of variation (CV)0.6125966538
Kurtosis-0.8697113468
Mean8.96359513
Median Absolute Deviation (MAD)4
Skewness0.3775248727
Sum75097
Variance30.15183198
MonotonicityNot monotonic
2022-06-09T08:56:45.728465image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1551
 
6.6%
2551
 
6.6%
6551
 
6.6%
4546
 
6.5%
5546
 
6.5%
3540
 
6.4%
7514
 
6.1%
8504
 
6.0%
10479
 
5.7%
9478
 
5.7%
Other values (12)3118
37.2%
ValueCountFrequency (%)
1551
6.6%
2551
6.6%
3540
6.4%
4546
6.5%
5546
6.5%
ValueCountFrequency (%)
2244
 
0.5%
2186
 
1.0%
20160
1.9%
19178
2.1%
18237
2.8%

pid
Real number (ℝ≥0)

Distinct551
Distinct (%)6.6%
Missing10
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean283.8637667
Minimum1
Maximum552
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:45.794985image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34
Q1154
median281
Q3408
95-th percentile533
Maximum552
Range551
Interquartile range (IQR)254

Descriptive statistics

Standard deviation158.5848989
Coefficient of variation (CV)0.5586655201
Kurtosis-1.125648042
Mean283.8637667
Median Absolute Deviation (MAD)127
Skewness-0.004332001004
Sum2375372
Variance25149.17016
MonotonicityNot monotonic
2022-06-09T08:56:45.864389image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53022
 
0.3%
55222
 
0.3%
55022
 
0.3%
54922
 
0.3%
54822
 
0.3%
54722
 
0.3%
54622
 
0.3%
54522
 
0.3%
54422
 
0.3%
54322
 
0.3%
Other values (541)8148
97.3%
ValueCountFrequency (%)
110
0.1%
210
0.1%
310
0.1%
410
0.1%
510
0.1%
ValueCountFrequency (%)
55222
0.3%
55122
0.3%
55022
0.3%
54922
0.3%
54822
0.3%

match
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1647171163
Minimum0
Maximum1
Zeros6998
Zeros (%)83.5%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:45.923483image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3709471823
Coefficient of variation (CV)2.25202572
Kurtosis1.269687393
Mean0.1647171163
Median Absolute Deviation (MAD)0
Skewness1.808143896
Sum1380
Variance0.1376018121
MonotonicityNot monotonic
2022-06-09T08:56:45.972852image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
06998
83.5%
11380
 
16.5%
ValueCountFrequency (%)
06998
83.5%
11380
 
16.5%
ValueCountFrequency (%)
11380
 
16.5%
06998
83.5%

int_corr
Real number (ℝ)

MISSING

Distinct155
Distinct (%)1.9%
Missing158
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean0.1960097324
Minimum-0.83
Maximum0.91
Zeros74
Zeros (%)0.9%
Negative2152
Negative (%)25.7%
Memory size65.6 KiB
2022-06-09T08:56:46.039615image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-0.83
5-th percentile-0.34
Q1-0.02
median0.21
Q30.43
95-th percentile0.65
Maximum0.91
Range1.74
Interquartile range (IQR)0.45

Descriptive statistics

Standard deviation0.3035392316
Coefficient of variation (CV)1.548592654
Kurtosis-0.5174223777
Mean0.1960097324
Median Absolute Deviation (MAD)0.22
Skewness-0.2598131077
Sum1611.2
Variance0.09213606512
MonotonicityNot monotonic
2022-06-09T08:56:46.110557image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.31140
 
1.7%
0.13124
 
1.5%
0.24116
 
1.4%
0.19112
 
1.3%
0.11112
 
1.3%
0.43110
 
1.3%
0.09109
 
1.3%
0.32106
 
1.3%
0.34106
 
1.3%
0.27104
 
1.2%
Other values (145)7081
84.5%
(Missing)158
 
1.9%
ValueCountFrequency (%)
-0.832
 
< 0.1%
-0.732
 
< 0.1%
-0.72
 
< 0.1%
-0.642
 
< 0.1%
-0.636
0.1%
ValueCountFrequency (%)
0.912
 
< 0.1%
0.94
< 0.1%
0.882
 
< 0.1%
0.872
 
< 0.1%
0.858
0.1%

samerace
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3957985199
Minimum0
Maximum1
Zeros5062
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:46.238908image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4890507121
Coefficient of variation (CV)1.235605207
Kurtosis-1.818754135
Mean0.3957985199
Median Absolute Deviation (MAD)0
Skewness0.4262394817
Sum3316
Variance0.239170599
MonotonicityNot monotonic
2022-06-09T08:56:46.287183image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
05062
60.4%
13316
39.6%
ValueCountFrequency (%)
05062
60.4%
13316
39.6%
ValueCountFrequency (%)
13316
39.6%
05062
60.4%

age_o
Real number (ℝ≥0)

MISSING

Distinct24
Distinct (%)0.3%
Missing104
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean26.36499879
Minimum18
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:46.343718image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile22
Q124
median26
Q328
95-th percentile33
Maximum55
Range37
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.563648336
Coefficient of variation (CV)0.1351658828
Kurtosis3.645930004
Mean26.36499879
Median Absolute Deviation (MAD)2
Skewness1.073471171
Sum218144
Variance12.69958947
MonotonicityNot monotonic
2022-06-09T08:56:46.405268image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
271059
12.6%
23894
10.7%
26869
10.4%
24863
10.3%
25837
10.0%
28746
8.9%
22651
7.8%
29589
7.0%
30574
6.9%
21289
 
3.4%
Other values (14)903
10.8%
ValueCountFrequency (%)
189
 
0.1%
1919
 
0.2%
2054
 
0.6%
21289
3.4%
22651
7.8%
ValueCountFrequency (%)
556
 
0.1%
4220
0.2%
3918
0.2%
3819
0.2%
375
 
0.1%

race_o
Real number (ℝ≥0)

Distinct5
Distinct (%)0.1%
Missing73
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean2.756652619
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:46.462839image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.230688737
Coefficient of variation (CV)0.4464431711
Kurtosis0.5674015105
Mean2.756652619
Median Absolute Deviation (MAD)0
Skewness1.11565044
Sum22894
Variance1.514594767
MonotonicityNot monotonic
2022-06-09T08:56:46.512123image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
24722
56.4%
41978
23.6%
3664
 
7.9%
6521
 
6.2%
1420
 
5.0%
(Missing)73
 
0.9%
ValueCountFrequency (%)
1420
 
5.0%
24722
56.4%
3664
 
7.9%
41978
23.6%
6521
 
6.2%
ValueCountFrequency (%)
6521
 
6.2%
41978
23.6%
3664
 
7.9%
24722
56.4%
1420
 
5.0%

pf_o_att
Real number (ℝ≥0)

MISSING

Distinct94
Distinct (%)1.1%
Missing89
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean22.49534685
Minimum0
Maximum100
Zeros21
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:46.576289image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q115
median20
Q325
95-th percentile50
Maximum100
Range100
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.56980184
Coefficient of variation (CV)0.5587734177
Kurtosis7.007706189
Mean22.49534685
Median Absolute Deviation (MAD)5
Skewness2.176008126
Sum186463.93
Variance157.9999183
MonotonicityNot monotonic
2022-06-09T08:56:46.652593image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201670
19.9%
15868
 
10.4%
25818
 
9.8%
10807
 
9.6%
30679
 
8.1%
40356
 
4.2%
50300
 
3.6%
35212
 
2.5%
16158
 
1.9%
15.38136
 
1.6%
Other values (84)2285
27.3%
ValueCountFrequency (%)
021
 
0.3%
29
 
0.1%
560
0.7%
6.6719
 
0.2%
721
 
0.3%
ValueCountFrequency (%)
10010
 
0.1%
9518
0.2%
909
 
0.1%
809
 
0.1%
7538
0.5%

pf_o_sin
Real number (ℝ≥0)

MISSING
ZEROS

Distinct78
Distinct (%)0.9%
Missing89
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean17.39686693
Minimum0
Maximum60
Zeros208
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:46.727482image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q115
median18.37
Q320
95-th percentile30
Maximum60
Range60
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.044002879
Coefficient of variation (CV)0.4049006586
Kurtosis2.511374853
Mean17.39686693
Median Absolute Deviation (MAD)3.37
Skewness0.2891603324
Sum144202.63
Variance49.61797656
MonotonicityNot monotonic
2022-06-09T08:56:46.799214image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202268
27.1%
101034
12.3%
15973
11.6%
25644
 
7.7%
30341
 
4.1%
5303
 
3.6%
18280
 
3.3%
0208
 
2.5%
16155
 
1.9%
16.67101
 
1.2%
Other values (68)1982
23.7%
(Missing)89
 
1.1%
ValueCountFrequency (%)
0208
2.5%
118
 
0.2%
219
 
0.2%
340
 
0.5%
5303
3.6%
ValueCountFrequency (%)
609
 
0.1%
4714
 
0.2%
4075
0.9%
3559
0.7%
3218
 
0.2%

pf_o_int
Real number (ℝ≥0)

MISSING

Distinct65
Distinct (%)0.8%
Missing89
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean20.27075884
Minimum0
Maximum50
Zeros83
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:46.874217image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q117.39
median20
Q323.81
95-th percentile30
Maximum50
Range50
Interquartile range (IQR)6.42

Descriptive statistics

Standard deviation6.782895408
Coefficient of variation (CV)0.334614775
Kurtosis3.149828527
Mean20.27075884
Median Absolute Deviation (MAD)2.73
Skewness0.5788751188
Sum168024.32
Variance46.00767012
MonotonicityNot monotonic
2022-06-09T08:56:46.948462image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202711
32.4%
25988
 
11.8%
30649
 
7.7%
15633
 
7.6%
10606
 
7.2%
18298
 
3.6%
19135
 
1.6%
35135
 
1.6%
16130
 
1.6%
19.2390
 
1.1%
Other values (55)1914
22.8%
ValueCountFrequency (%)
083
1.0%
128
 
0.3%
29
 
0.1%
589
1.1%
822
 
0.3%
ValueCountFrequency (%)
5048
 
0.6%
4531
 
0.4%
42.8614
 
0.2%
4069
0.8%
35135
1.6%

pf_o_fun
Real number (ℝ≥0)

MISSING

Distinct71
Distinct (%)0.9%
Missing98
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean17.45971377
Minimum0
Maximum50
Zeros32
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:47.022960image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q115
median18
Q320
95-th percentile27
Maximum50
Range50
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.085525746
Coefficient of variation (CV)0.3485467074
Kurtosis2.884320289
Mean17.45971377
Median Absolute Deviation (MAD)3
Skewness0.5674930046
Sum144566.43
Variance37.0336236
MonotonicityNot monotonic
2022-06-09T08:56:47.103026image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202233
26.7%
151211
14.5%
101177
14.0%
25568
 
6.8%
30296
 
3.5%
5245
 
2.9%
18214
 
2.6%
16196
 
2.3%
17133
 
1.6%
19.23130
 
1.6%
Other values (61)1877
22.4%
ValueCountFrequency (%)
032
 
0.4%
118
 
0.2%
29
 
0.1%
318
 
0.2%
5245
2.9%
ValueCountFrequency (%)
5020
 
0.2%
4510
 
0.1%
4040
 
0.5%
3529
 
0.3%
30296
3.5%

pf_o_amb
Real number (ℝ≥0)

MISSING
ZEROS

Distinct82
Distinct (%)1.0%
Missing107
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean10.68537541
Minimum0
Maximum53
Zeros825
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:47.177051image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median10
Q315
95-th percentile20
Maximum53
Range53
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.12654367
Coefficient of variation (CV)0.5733578312
Kurtosis1.854958785
Mean10.68537541
Median Absolute Deviation (MAD)5
Skewness0.2522630217
Sum88378.74
Variance37.53453734
MonotonicityNot monotonic
2022-06-09T08:56:47.254399image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102006
23.9%
151182
14.1%
51155
13.8%
0825
9.8%
20515
 
6.1%
16169
 
2.0%
18147
 
1.8%
14136
 
1.6%
8117
 
1.4%
1292
 
1.1%
Other values (72)1927
23.0%
(Missing)107
 
1.3%
ValueCountFrequency (%)
0825
9.8%
146
 
0.5%
263
 
0.8%
2.3320
 
0.2%
2.3820
 
0.2%
ValueCountFrequency (%)
5310
 
0.1%
3018
0.2%
2537
0.4%
20.5920
0.2%
20.4110
 
0.1%

pf_o_sha
Real number (ℝ≥0)

MISSING
ZEROS

Distinct85
Distinct (%)1.0%
Missing129
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean11.84593042
Minimum0
Maximum30
Zeros713
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:47.332134image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.52
median10.64
Q316
95-th percentile20
Maximum30
Range30
Interquartile range (IQR)6.48

Descriptive statistics

Standard deviation6.362745544
Coefficient of variation (CV)0.5371250143
Kurtosis-0.2907493619
Mean11.84593042
Median Absolute Deviation (MAD)4.45
Skewness-0.04178417449
Sum97717.08
Variance40.48453085
MonotonicityNot monotonic
2022-06-09T08:56:47.407907image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102001
23.9%
151064
12.7%
20975
11.6%
5950
11.3%
0713
 
8.5%
16152
 
1.8%
18147
 
1.8%
12113
 
1.3%
14110
 
1.3%
891
 
1.1%
Other values (75)1933
23.1%
(Missing)129
 
1.5%
ValueCountFrequency (%)
0713
8.5%
155
 
0.7%
219
 
0.2%
2.2710
 
0.1%
2.3820
 
0.2%
ValueCountFrequency (%)
3086
1.0%
2587
1.0%
23.8120
 
0.2%
22.2210
 
0.1%
2259
0.7%

dec_o
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4195512055
Minimum0
Maximum1
Zeros4863
Zeros (%)58.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:47.469343image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4935150074
Coefficient of variation (CV)1.176292669
Kurtosis-1.894110001
Mean0.4195512055
Median Absolute Deviation (MAD)0
Skewness0.3261015475
Sum3515
Variance0.2435570625
MonotonicityNot monotonic
2022-06-09T08:56:47.604440image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
04863
58.0%
13515
42.0%
ValueCountFrequency (%)
04863
58.0%
13515
42.0%
ValueCountFrequency (%)
13515
42.0%
04863
58.0%

attr_o
Real number (ℝ≥0)

MISSING

Distinct18
Distinct (%)0.2%
Missing212
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean6.190411462
Minimum0
Maximum10.5
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:47.658492image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median6
Q38
95-th percentile9
Maximum10.5
Range10.5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.95030543
Coefficient of variation (CV)0.3150526329
Kurtosis-0.1014035021
Mean6.190411462
Median Absolute Deviation (MAD)1
Skewness-0.3191622473
Sum50550.9
Variance3.80369127
MonotonicityNot monotonic
2022-06-09T08:56:47.716778image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
61655
19.8%
71642
19.6%
51260
15.0%
81230
14.7%
4748
8.9%
9540
 
6.4%
3390
 
4.7%
10324
 
3.9%
2244
 
2.9%
1108
 
1.3%
Other values (8)25
 
0.3%
(Missing)212
 
2.5%
ValueCountFrequency (%)
08
 
0.1%
1108
 
1.3%
2244
2.9%
3390
4.7%
3.51
 
< 0.1%
ValueCountFrequency (%)
10.51
 
< 0.1%
10324
3.9%
9.91
 
< 0.1%
9.53
 
< 0.1%
9540
6.4%

sinc_o
Real number (ℝ≥0)

MISSING

Distinct14
Distinct (%)0.2%
Missing287
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean7.175256458
Minimum0
Maximum10
Zeros9
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:47.774327image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q16
median7
Q38
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.740575411
Coefficient of variation (CV)0.2425802369
Kurtosis0.7452590384
Mean7.175256458
Median Absolute Deviation (MAD)1
Skewness-0.6387245013
Sum58055
Variance3.029602762
MonotonicityNot monotonic
2022-06-09T08:56:47.828725image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
82045
24.4%
71892
22.6%
61254
15.0%
9929
11.1%
10734
 
8.8%
5699
 
8.3%
4278
 
3.3%
3134
 
1.6%
275
 
0.9%
138
 
0.5%
Other values (4)13
 
0.2%
(Missing)287
 
3.4%
ValueCountFrequency (%)
09
 
0.1%
138
 
0.5%
275
 
0.9%
3134
1.6%
4278
3.3%
ValueCountFrequency (%)
10734
 
8.8%
9929
11.1%
8.52
 
< 0.1%
82045
24.4%
7.51
 
< 0.1%

intel_o
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)0.2%
Missing306
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean7.369301288
Minimum0
Maximum10
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:47.886256image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q16
median7
Q38
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.550500931
Coefficient of variation (CV)0.2103999918
Kurtosis0.7588183972
Mean7.369301288
Median Absolute Deviation (MAD)1
Skewness-0.5463408363
Sum59485
Variance2.404053136
MonotonicityNot monotonic
2022-06-09T08:56:47.941296image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
82198
26.2%
72021
24.1%
61152
13.8%
91104
13.2%
10675
 
8.1%
5628
 
7.5%
4161
 
1.9%
369
 
0.8%
234
 
0.4%
113
 
0.2%
Other values (7)17
 
0.2%
(Missing)306
 
3.7%
ValueCountFrequency (%)
05
 
0.1%
113
 
0.2%
234
0.4%
2.51
 
< 0.1%
369
0.8%
ValueCountFrequency (%)
10675
 
8.1%
9.51
 
< 0.1%
91104
13.2%
8.52
 
< 0.1%
82198
26.2%

fun_o
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)0.2%
Missing360
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean6.400598653
Minimum0
Maximum11
Zeros14
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:47.997117image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median7
Q38
95-th percentile9
Maximum11
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.954077915
Coefficient of variation (CV)0.3052961169
Kurtosis0.09514341923
Mean6.400598653
Median Absolute Deviation (MAD)1
Skewness-0.4513575431
Sum51320
Variance3.818420497
MonotonicityNot monotonic
2022-06-09T08:56:48.052321image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
71657
19.8%
61529
18.3%
81453
17.3%
51157
13.8%
4605
 
7.2%
9600
 
7.2%
10386
 
4.6%
3281
 
3.4%
2220
 
2.6%
1107
 
1.3%
Other values (7)23
 
0.3%
(Missing)360
 
4.3%
ValueCountFrequency (%)
014
 
0.2%
1107
 
1.3%
2220
 
2.6%
3281
3.4%
4605
7.2%
ValueCountFrequency (%)
111
 
< 0.1%
10386
4.6%
9.51
 
< 0.1%
9600
7.2%
8.51
 
< 0.1%

amb_o
Real number (ℝ≥0)

MISSING

Distinct15
Distinct (%)0.2%
Missing722
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean6.778409091
Minimum0
Maximum10
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:48.111547image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q16
median7
Q38
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.794079858
Coefficient of variation (CV)0.2646756538
Kurtosis0.1712519402
Mean6.778409091
Median Absolute Deviation (MAD)1
Skewness-0.3943866956
Sum51895.5
Variance3.218722537
MonotonicityNot monotonic
2022-06-09T08:56:48.168400image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
71679
20.0%
81506
18.0%
61425
17.0%
51102
13.2%
9788
9.4%
10470
 
5.6%
4361
 
4.3%
3172
 
2.1%
2101
 
1.2%
142
 
0.5%
Other values (5)10
 
0.1%
(Missing)722
8.6%
ValueCountFrequency (%)
05
 
0.1%
142
 
0.5%
2101
 
1.2%
3172
2.1%
4361
4.3%
ValueCountFrequency (%)
10470
 
5.6%
9.51
 
< 0.1%
9788
9.4%
8.51
 
< 0.1%
81506
18.0%

shar_o
Real number (ℝ≥0)

MISSING

Distinct15
Distinct (%)0.2%
Missing1076
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean5.474869899
Minimum0
Maximum10
Zeros59
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:48.225747image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q37
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.156163182
Coefficient of variation (CV)0.3938291178
Kurtosis-0.3741622048
Mean5.474869899
Median Absolute Deviation (MAD)1
Skewness-0.1917399796
Sum39977.5
Variance4.649039669
MonotonicityNot monotonic
2022-06-09T08:56:48.281743image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
51462
17.5%
61247
14.9%
71149
13.7%
4783
9.3%
8769
9.2%
3588
7.0%
2484
 
5.8%
9317
 
3.8%
1238
 
2.8%
10197
 
2.4%
Other values (5)68
 
0.8%
(Missing)1076
12.8%
ValueCountFrequency (%)
059
 
0.7%
1238
 
2.8%
2484
5.8%
3588
7.0%
4783
9.3%
ValueCountFrequency (%)
10197
 
2.4%
9317
3.8%
8.52
 
< 0.1%
8769
9.2%
7.54
 
< 0.1%

like_o
Real number (ℝ≥0)

MISSING

Distinct18
Distinct (%)0.2%
Missing250
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean6.134498031
Minimum0
Maximum10
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:48.339081image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median6
Q37
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.841257974
Coefficient of variation (CV)0.3001481075
Kurtosis0.1297540233
Mean6.134498031
Median Absolute Deviation (MAD)1
Skewness-0.4515449671
Sum49861.2
Variance3.390230928
MonotonicityNot monotonic
2022-06-09T08:56:48.399047image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
71813
21.6%
61708
20.4%
51318
15.7%
81272
15.2%
4644
 
7.7%
9412
 
4.9%
3394
 
4.7%
2223
 
2.7%
10182
 
2.2%
1110
 
1.3%
Other values (8)52
 
0.6%
(Missing)250
 
3.0%
ValueCountFrequency (%)
08
 
0.1%
1110
 
1.3%
2223
 
2.7%
3394
4.7%
4644
7.7%
ValueCountFrequency (%)
10182
2.2%
9.71
 
< 0.1%
9.53
 
< 0.1%
9412
4.9%
8.59
 
0.1%

prob_o
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)0.2%
Missing318
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean5.20825062
Minimum0
Maximum10
Zeros49
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:48.460859image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median5
Q37
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.129353968
Coefficient of variation (CV)0.4088424547
Kurtosis-0.3234323561
Mean5.20825062
Median Absolute Deviation (MAD)1
Skewness-0.120625235
Sum41978.5
Variance4.534148323
MonotonicityNot monotonic
2022-06-09T08:56:48.519592image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
51797
21.4%
61395
16.7%
71127
13.5%
4930
11.1%
3708
 
8.5%
8652
 
7.8%
2539
 
6.4%
1413
 
4.9%
9241
 
2.9%
10188
 
2.2%
Other values (9)70
 
0.8%
(Missing)318
 
3.8%
ValueCountFrequency (%)
049
 
0.6%
1413
4.9%
1.51
 
< 0.1%
2539
6.4%
3708
8.5%
ValueCountFrequency (%)
10188
 
2.2%
9.51
 
< 0.1%
9241
 
2.9%
8.54
 
< 0.1%
8652
7.8%

met_o
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)0.1%
Missing385
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean1.960215188
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:48.574299image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2459248519
Coefficient of variation (CV)0.1254580892
Kurtosis134.0023324
Mean1.960215188
Median Absolute Deviation (MAD)0
Skewness3.519028908
Sum15668
Variance0.06047903277
MonotonicityNot monotonic
2022-06-09T08:56:48.624668image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
27635
91.1%
1350
 
4.2%
73
 
< 0.1%
52
 
< 0.1%
31
 
< 0.1%
61
 
< 0.1%
81
 
< 0.1%
(Missing)385
 
4.6%
ValueCountFrequency (%)
1350
 
4.2%
27635
91.1%
31
 
< 0.1%
52
 
< 0.1%
61
 
< 0.1%
ValueCountFrequency (%)
81
 
< 0.1%
73
< 0.1%
61
 
< 0.1%
52
< 0.1%
31
 
< 0.1%

age
Real number (ℝ≥0)

MISSING

Distinct24
Distinct (%)0.3%
Missing95
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean26.35892792
Minimum18
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:48.685982image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile22
Q124
median26
Q328
95-th percentile33
Maximum55
Range37
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.566762556
Coefficient of variation (CV)0.1353151602
Kurtosis3.632210606
Mean26.35892792
Median Absolute Deviation (MAD)2
Skewness1.069590433
Sum218331
Variance12.72179513
MonotonicityNot monotonic
2022-06-09T08:56:48.746884image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
271059
12.6%
23894
10.7%
26869
10.4%
24863
10.3%
25837
10.0%
28746
8.9%
22655
7.8%
29589
7.0%
30574
6.9%
21291
 
3.5%
Other values (14)906
10.8%
ValueCountFrequency (%)
1810
 
0.1%
1920
 
0.2%
2055
 
0.7%
21291
3.5%
22655
7.8%
ValueCountFrequency (%)
556
 
0.1%
4220
0.2%
3918
0.2%
3819
0.2%
375
 
0.1%

field
Categorical

HIGH CARDINALITY

Distinct259
Distinct (%)3.1%
Missing63
Missing (%)0.8%
Memory size65.6 KiB
Business
 
521
MBA
 
468
Law
 
462
Social Work
 
378
International Affairs
 
252
Other values (254)
6234 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLaw
2nd rowLaw
3rd rowLaw
4th rowLaw
5th rowLaw

Common Values

ValueCountFrequency (%)
Business521
 
6.2%
MBA468
 
5.6%
Law462
 
5.5%
Social Work378
 
4.5%
International Affairs252
 
3.0%
Electrical Engineering164
 
2.0%
Psychology139
 
1.7%
law123
 
1.5%
Finance113
 
1.3%
business110
 
1.3%
Other values (249)5585
66.7%

field_cd
Real number (ℝ≥0)

Distinct18
Distinct (%)0.2%
Missing82
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean7.662487946
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:48.808884image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q310
95-th percentile13.25
Maximum18
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.758934965
Coefficient of variation (CV)0.4905632468
Kurtosis-0.4606593635
Mean7.662487946
Median Absolute Deviation (MAD)3
Skewness0.01371119283
Sum63568
Variance14.12959207
MonotonicityNot monotonic
2022-06-09T08:56:48.862753image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
81925
23.0%
10993
11.9%
5864
10.3%
13709
 
8.5%
3696
 
8.3%
1665
 
7.9%
9626
 
7.5%
11468
 
5.6%
6325
 
3.9%
7241
 
2.9%
Other values (8)784
9.4%
ValueCountFrequency (%)
1665
7.9%
2207
 
2.5%
3696
8.3%
4143
 
1.7%
5864
10.3%
ValueCountFrequency (%)
1852
 
0.6%
1710
 
0.1%
1640
 
0.5%
15187
2.2%
14126
1.5%

undergra
Categorical

HIGH CARDINALITY
MISSING

Distinct241
Distinct (%)4.9%
Missing3464
Missing (%)41.3%
Memory size65.6 KiB
UC Berkeley
 
107
Harvard
 
104
Columbia
 
95
Yale
 
86
NYU
 
78
Other values (236)
4444 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowGeorge Mason University
2nd rowGeorge Mason University
3rd rowGeorge Mason University
4th rowGeorge Mason University
5th rowGeorge Mason University

Common Values

ValueCountFrequency (%)
UC Berkeley107
 
1.3%
Harvard104
 
1.2%
Columbia95
 
1.1%
Yale86
 
1.0%
NYU78
 
0.9%
UCLA66
 
0.8%
Brown66
 
0.8%
Cornell University64
 
0.8%
Smith College59
 
0.7%
Tufts University47
 
0.6%
Other values (231)4142
49.4%
(Missing)3464
41.3%

mn_sat
Categorical

HIGH CARDINALITY
MISSING

Distinct68
Distinct (%)2.2%
Missing5245
Missing (%)62.6%
Memory size65.6 KiB
1,400.00
403 
1,430.00
262 
1,290.00
 
190
1,450.00
 
163
1,340.00
 
146
Other values (63)
1969 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1,070.00
2nd row1,070.00
3rd row1,070.00
4th row1,070.00
5th row1,070.00

Common Values

ValueCountFrequency (%)
1,400.00403
 
4.8%
1,430.00262
 
3.1%
1,290.00190
 
2.3%
1,450.00163
 
1.9%
1,340.00146
 
1.7%
1,309.00138
 
1.6%
1,260.00133
 
1.6%
1,360.00116
 
1.4%
1,460.00100
 
1.2%
1,330.0084
 
1.0%
Other values (58)1398
 
16.7%
(Missing)5245
62.6%

tuition
Categorical

HIGH CARDINALITY
MISSING

Distinct115
Distinct (%)3.2%
Missing4795
Missing (%)57.2%
Memory size65.6 KiB
26,908.00
 
241
26,019.00
 
174
15,162.00
 
138
25,380.00
 
112
26,062.00
 
108
Other values (110)
2810 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12,696.00
2nd row12,696.00
3rd row12,696.00
4th row12,696.00
5th row12,696.00

Common Values

ValueCountFrequency (%)
26,908.00241
 
2.9%
26,019.00174
 
2.1%
15,162.00138
 
1.6%
25,380.00112
 
1.3%
26,062.00108
 
1.3%
27,395.0096
 
1.1%
26,100.0095
 
1.1%
26,892.0092
 
1.1%
15,309.0084
 
1.0%
26,630.0083
 
1.0%
Other values (105)2360
28.2%
(Missing)4795
57.2%

race
Real number (ℝ≥0)

Distinct5
Distinct (%)0.1%
Missing63
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean2.757185809
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:48.919304image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.230904574
Coefficient of variation (CV)0.4464351188
Kurtosis0.5650635663
Mean2.757185809
Median Absolute Deviation (MAD)0
Skewness1.114979483
Sum22926
Variance1.51512607
MonotonicityNot monotonic
2022-06-09T08:56:48.968342image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
24727
56.4%
41982
23.7%
3664
 
7.9%
6522
 
6.2%
1420
 
5.0%
(Missing)63
 
0.8%
ValueCountFrequency (%)
1420
 
5.0%
24727
56.4%
3664
 
7.9%
41982
23.7%
6522
 
6.2%
ValueCountFrequency (%)
6522
 
6.2%
41982
23.7%
3664
 
7.9%
24727
56.4%
1420
 
5.0%

imprace
Real number (ℝ≥0)

Distinct11
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean3.784793349
Minimum0
Maximum10
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:49.019141image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median3
Q36
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.84570776
Coefficient of variation (CV)0.7518792963
Kurtosis-0.9102203105
Mean3.784793349
Median Absolute Deviation (MAD)2
Skewness0.658341186
Sum31410
Variance8.098052654
MonotonicityNot monotonic
2022-06-09T08:56:49.071298image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
12798
33.4%
3983
 
11.7%
2954
 
11.4%
8663
 
7.9%
5657
 
7.8%
7543
 
6.5%
6524
 
6.3%
4510
 
6.1%
9409
 
4.9%
10250
 
3.0%
(Missing)79
 
0.9%
ValueCountFrequency (%)
08
 
0.1%
12798
33.4%
2954
 
11.4%
3983
 
11.7%
4510
 
6.1%
ValueCountFrequency (%)
10250
 
3.0%
9409
4.9%
8663
7.9%
7543
6.5%
6524
6.3%

imprelig
Real number (ℝ≥0)

Distinct10
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean3.651644776
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:49.124083image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q36
95-th percentile9
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.805237008
Coefficient of variation (CV)0.7682119098
Kurtosis-0.6947363756
Mean3.651644776
Median Absolute Deviation (MAD)2
Skewness0.745125753
Sum30305
Variance7.86935467
MonotonicityNot monotonic
2022-06-09T08:56:49.173496image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
13032
36.2%
3929
 
11.1%
2863
 
10.3%
5697
 
8.3%
6661
 
7.9%
4524
 
6.3%
8517
 
6.2%
7467
 
5.6%
10327
 
3.9%
9282
 
3.4%
(Missing)79
 
0.9%
ValueCountFrequency (%)
13032
36.2%
2863
 
10.3%
3929
 
11.1%
4524
 
6.3%
5697
 
8.3%
ValueCountFrequency (%)
10327
3.9%
9282
3.4%
8517
6.2%
7467
5.6%
6661
7.9%

from
Categorical

HIGH CARDINALITY

Distinct269
Distinct (%)3.2%
Missing79
Missing (%)0.9%
Memory size65.6 KiB
New York
 
522
New Jersey
 
365
California
 
301
China
 
139
Italy
 
132
Other values (264)
6840 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowChicago
2nd rowChicago
3rd rowChicago
4th rowChicago
5th rowChicago

Common Values

ValueCountFrequency (%)
New York522
 
6.2%
New Jersey365
 
4.4%
California301
 
3.6%
China139
 
1.7%
Italy132
 
1.6%
New York City130
 
1.6%
Boston123
 
1.5%
Texas120
 
1.4%
NYC109
 
1.3%
India107
 
1.3%
Other values (259)6251
74.6%

zipcode
Categorical

HIGH CARDINALITY
MISSING

Distinct409
Distinct (%)5.6%
Missing1064
Missing (%)12.7%
Memory size65.6 KiB
0
 
355
10,021
 
139
10,027
 
128
10,025
 
121
19,087
 
48
Other values (404)
6523 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row60,521
2nd row60,521
3rd row60,521
4th row60,521
5th row60,521

Common Values

ValueCountFrequency (%)
0355
 
4.2%
10,021139
 
1.7%
10,027128
 
1.5%
10,025121
 
1.4%
19,08748
 
0.6%
92,06441
 
0.5%
7,41041
 
0.5%
10,01239
 
0.5%
11,23539
 
0.5%
91,01137
 
0.4%
Other values (399)6326
75.5%
(Missing)1064
 
12.7%

income
Categorical

HIGH CARDINALITY
MISSING

Distinct261
Distinct (%)6.1%
Missing4099
Missing (%)48.9%
Memory size65.6 KiB
55,080.00
 
124
53,229.00
 
41
25,401.00
 
39
78,704.00
 
37
33,772.00
 
37
Other values (256)
4001 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row69,487.00
2nd row69,487.00
3rd row69,487.00
4th row69,487.00
5th row69,487.00

Common Values

ValueCountFrequency (%)
55,080.00124
 
1.5%
53,229.0041
 
0.5%
25,401.0039
 
0.5%
78,704.0037
 
0.4%
33,772.0037
 
0.4%
49,409.0037
 
0.4%
80,006.0034
 
0.4%
69,487.0030
 
0.4%
52,010.0029
 
0.3%
16,767.0028
 
0.3%
Other values (251)3843
45.9%
(Missing)4099
48.9%

goal
Real number (ℝ≥0)

Distinct6
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean2.122062899
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:49.224034image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.407180835
Coefficient of variation (CV)0.6631192864
Kurtosis1.283156939
Mean2.122062899
Median Absolute Deviation (MAD)1
Skewness1.478044448
Sum17611
Variance1.980157903
MonotonicityNot monotonic
2022-06-09T08:56:49.276088image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13426
40.9%
23012
36.0%
3631
 
7.5%
5510
 
6.1%
6419
 
5.0%
4301
 
3.6%
(Missing)79
 
0.9%
ValueCountFrequency (%)
13426
40.9%
23012
36.0%
3631
 
7.5%
4301
 
3.6%
5510
 
6.1%
ValueCountFrequency (%)
6419
 
5.0%
5510
 
6.1%
4301
 
3.6%
3631
 
7.5%
23012
36.0%

date
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)0.1%
Missing97
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean5.006762468
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:49.441680image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.444530802
Coefficient of variation (CV)0.2885159445
Kurtosis-0.5343496606
Mean5.006762468
Median Absolute Deviation (MAD)1
Skewness-0.3775452848
Sum41461
Variance2.086669239
MonotonicityNot monotonic
2022-06-09T08:56:49.490533image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
62094
25.0%
42040
24.3%
51528
18.2%
71434
17.1%
3783
 
9.3%
2308
 
3.7%
194
 
1.1%
(Missing)97
 
1.2%
ValueCountFrequency (%)
194
 
1.1%
2308
 
3.7%
3783
 
9.3%
42040
24.3%
51528
18.2%
ValueCountFrequency (%)
71434
17.1%
62094
25.0%
51528
18.2%
42040
24.3%
3783
 
9.3%

go_out
Real number (ℝ≥0)

Distinct7
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean2.158091336
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:49.542948image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.105246377
Coefficient of variation (CV)0.512140686
Kurtosis2.127386393
Mean2.158091336
Median Absolute Deviation (MAD)1
Skewness1.204180387
Sum17910
Variance1.221569555
MonotonicityNot monotonic
2022-06-09T08:56:49.588949image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
22990
35.7%
12610
31.2%
31949
23.3%
4450
 
5.4%
5164
 
2.0%
699
 
1.2%
737
 
0.4%
(Missing)79
 
0.9%
ValueCountFrequency (%)
12610
31.2%
22990
35.7%
31949
23.3%
4450
 
5.4%
5164
 
2.0%
ValueCountFrequency (%)
737
 
0.4%
699
 
1.2%
5164
 
2.0%
4450
 
5.4%
31949
23.3%

career
Categorical

HIGH CARDINALITY
MISSING

Distinct367
Distinct (%)4.4%
Missing89
Missing (%)1.1%
Memory size65.6 KiB
Finance
 
202
professor
 
199
Lawyer
 
154
Professor
 
148
Consulting
 
147
Other values (362)
7439 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowlawyer
2nd rowlawyer
3rd rowlawyer
4th rowlawyer
5th rowlawyer

Common Values

ValueCountFrequency (%)
Finance202
 
2.4%
professor199
 
2.4%
Lawyer154
 
1.8%
Professor148
 
1.8%
Consulting147
 
1.8%
Social Worker136
 
1.6%
Law121
 
1.4%
Business103
 
1.2%
Academic101
 
1.2%
Scientist91
 
1.1%
Other values (357)6887
82.2%
(Missing)89
 
1.1%

career_c
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)0.2%
Missing138
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean5.277791262
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:49.645528image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median6
Q37
95-th percentile11
Maximum17
Range16
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.309520115
Coefficient of variation (CV)0.627065367
Kurtosis-0.0506055923
Mean5.277791262
Median Absolute Deviation (MAD)3
Skewness0.5911928704
Sum43489
Variance10.95292339
MonotonicityNot monotonic
2022-06-09T08:56:49.698408image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
22320
27.7%
72170
25.9%
6724
 
8.6%
1675
 
8.1%
9547
 
6.5%
4421
 
5.0%
10379
 
4.5%
3261
 
3.1%
5234
 
2.8%
11220
 
2.6%
Other values (7)289
 
3.4%
(Missing)138
 
1.6%
ValueCountFrequency (%)
1675
 
8.1%
22320
27.7%
3261
 
3.1%
4421
 
5.0%
5234
 
2.8%
ValueCountFrequency (%)
1710
 
0.1%
1644
0.5%
1577
0.9%
1410
 
0.1%
1381
1.0%

sports
Real number (ℝ≥0)

Distinct10
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean6.425231956
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:49.765582image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q39
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.619023892
Coefficient of variation (CV)0.4076154619
Kurtosis-0.8823638794
Mean6.425231956
Median Absolute Deviation (MAD)2
Skewness-0.4170013494
Sum53323
Variance6.859286145
MonotonicityNot monotonic
2022-06-09T08:56:49.820880image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
81294
15.4%
71185
14.1%
101069
12.8%
91052
12.6%
5860
10.3%
6760
9.1%
3679
8.1%
4584
7.0%
2469
 
5.6%
1347
 
4.1%
(Missing)79
 
0.9%
ValueCountFrequency (%)
1347
4.1%
2469
5.6%
3679
8.1%
4584
7.0%
5860
10.3%
ValueCountFrequency (%)
101069
12.8%
91052
12.6%
81294
15.4%
71185
14.1%
6760
9.1%

tvsports
Real number (ℝ≥0)

Distinct10
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean4.575491023
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:49.877612image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q37
95-th percentile9
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.801874499
Coefficient of variation (CV)0.6123658608
Kurtosis-1.155605231
Mean4.575491023
Median Absolute Deviation (MAD)2
Skewness0.2883487216
Sum37972
Variance7.850500708
MonotonicityNot monotonic
2022-06-09T08:56:49.927738image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
11522
18.2%
21124
13.4%
7926
11.1%
3898
10.7%
5864
10.3%
8743
8.9%
4732
8.7%
6650
7.8%
9466
 
5.6%
10374
 
4.5%
(Missing)79
 
0.9%
ValueCountFrequency (%)
11522
18.2%
21124
13.4%
3898
10.7%
4732
8.7%
5864
10.3%
ValueCountFrequency (%)
10374
4.5%
9466
5.6%
8743
8.9%
7926
11.1%
6650
7.8%

exercise
Real number (ℝ≥0)

Distinct10
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean6.245812749
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:49.981647image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q38
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.418857734
Coefficient of variation (CV)0.3872766975
Kurtosis-0.6969574386
Mean6.245812749
Median Absolute Deviation (MAD)2
Skewness-0.3691578708
Sum51834
Variance5.85087274
MonotonicityNot monotonic
2022-06-09T08:56:50.030517image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
81358
16.2%
71200
14.3%
61160
13.8%
51054
12.6%
9902
10.8%
10683
8.2%
4608
7.3%
3586
7.0%
2454
 
5.4%
1294
 
3.5%
(Missing)79
 
0.9%
ValueCountFrequency (%)
1294
 
3.5%
2454
5.4%
3586
7.0%
4608
7.3%
51054
12.6%
ValueCountFrequency (%)
10683
8.2%
9902
10.8%
81358
16.2%
71200
14.3%
61160
13.8%

dining
Real number (ℝ≥0)

Distinct10
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean7.783829377
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:50.082783image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q17
median8
Q39
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.754867551
Coefficient of variation (CV)0.2254504135
Kurtosis0.6062616503
Mean7.783829377
Median Absolute Deviation (MAD)1
Skewness-0.8080574323
Sum64598
Variance3.079560123
MonotonicityNot monotonic
2022-06-09T08:56:50.133449image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
81924
23.0%
91644
19.6%
101523
18.2%
71511
18.0%
6712
 
8.5%
5663
 
7.9%
4156
 
1.9%
394
 
1.1%
238
 
0.5%
134
 
0.4%
(Missing)79
 
0.9%
ValueCountFrequency (%)
134
 
0.4%
238
 
0.5%
394
 
1.1%
4156
 
1.9%
5663
7.9%
ValueCountFrequency (%)
101523
18.2%
91644
19.6%
81924
23.0%
71511
18.0%
6712
 
8.5%

museums
Real number (ℝ≥0)

Distinct11
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean6.985781419
Minimum0
Maximum10
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:50.186581image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median7
Q39
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.052231977
Coefficient of variation (CV)0.2937727154
Kurtosis-0.07362996228
Mean6.985781419
Median Absolute Deviation (MAD)1
Skewness-0.6095999405
Sum57975
Variance4.211656087
MonotonicityNot monotonic
2022-06-09T08:56:50.240238image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
71801
21.5%
81596
19.0%
91249
14.9%
6902
10.8%
10830
9.9%
5829
9.9%
4504
 
6.0%
3404
 
4.8%
2108
 
1.3%
158
 
0.7%
(Missing)79
 
0.9%
ValueCountFrequency (%)
018
 
0.2%
158
 
0.7%
2108
 
1.3%
3404
4.8%
4504
6.0%
ValueCountFrequency (%)
10830
9.9%
91249
14.9%
81596
19.0%
71801
21.5%
6902
10.8%

art
Real number (ℝ≥0)

Distinct11
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean6.714543921
Minimum0
Maximum10
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:50.293801image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median7
Q38
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.263407192
Coefficient of variation (CV)0.3370902356
Kurtosis-0.5105821704
Mean6.714543921
Median Absolute Deviation (MAD)2
Skewness-0.4761021352
Sum55724
Variance5.123012117
MonotonicityNot monotonic
2022-06-09T08:56:50.349890image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
81750
20.9%
71350
16.1%
51001
11.9%
10956
11.4%
6894
10.7%
9875
10.4%
3618
 
7.4%
4517
 
6.2%
2228
 
2.7%
192
 
1.1%
(Missing)79
 
0.9%
ValueCountFrequency (%)
018
 
0.2%
192
 
1.1%
2228
 
2.7%
3618
7.4%
4517
6.2%
ValueCountFrequency (%)
10956
11.4%
9875
10.4%
81750
20.9%
71350
16.1%
6894
10.7%

hiking
Real number (ℝ≥0)

Distinct11
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean5.737076756
Minimum0
Maximum10
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:50.404522image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q38
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.570207282
Coefficient of variation (CV)0.4479994588
Kurtosis-1.004126163
Mean5.737076756
Median Absolute Deviation (MAD)2
Skewness-0.1616674793
Sum47612
Variance6.605965471
MonotonicityNot monotonic
2022-06-09T08:56:50.461489image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
81212
14.5%
71117
13.3%
61044
12.5%
3944
11.3%
5929
11.1%
9688
8.2%
4681
8.1%
2680
8.1%
10566
6.8%
1420
 
5.0%
(Missing)79
 
0.9%
ValueCountFrequency (%)
018
 
0.2%
1420
5.0%
2680
8.1%
3944
11.3%
4681
8.1%
ValueCountFrequency (%)
10566
6.8%
9688
8.2%
81212
14.5%
71117
13.3%
61044
12.5%

gaming
Real number (ℝ≥0)

Distinct12
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean3.881190505
Minimum0
Maximum14
Zeros59
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:50.519157image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q36
95-th percentile8
Maximum14
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.620507354
Coefficient of variation (CV)0.6751813265
Kurtosis0.6046409529
Mean3.881190505
Median Absolute Deviation (MAD)2
Skewness0.8210186294
Sum32210
Variance6.86705879
MonotonicityNot monotonic
2022-06-09T08:56:50.574615image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
11983
23.7%
21175
14.0%
31078
12.9%
51025
12.2%
6761
 
9.1%
7734
 
8.8%
4710
 
8.5%
8429
 
5.1%
9220
 
2.6%
1478
 
0.9%
Other values (2)106
 
1.3%
(Missing)79
 
0.9%
ValueCountFrequency (%)
059
 
0.7%
11983
23.7%
21175
14.0%
31078
12.9%
4710
 
8.5%
ValueCountFrequency (%)
1478
 
0.9%
1047
 
0.6%
9220
 
2.6%
8429
5.1%
7734
8.8%

clubbing
Real number (ℝ≥0)

Distinct11
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean5.745993493
Minimum0
Maximum10
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:50.634923image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q38
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.502217726
Coefficient of variation (CV)0.4354717299
Kurtosis-0.8310903877
Mean5.745993493
Median Absolute Deviation (MAD)2
Skewness-0.4642877591
Sum47686
Variance6.261093551
MonotonicityNot monotonic
2022-06-09T08:56:50.690062image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
81402
16.7%
71291
15.4%
61138
13.6%
9982
11.7%
5919
11.0%
1761
9.1%
3717
8.6%
4619
7.4%
2342
 
4.1%
10110
 
1.3%
(Missing)79
 
0.9%
ValueCountFrequency (%)
018
 
0.2%
1761
9.1%
2342
4.1%
3717
8.6%
4619
7.4%
ValueCountFrequency (%)
10110
 
1.3%
9982
11.7%
81402
16.7%
71291
15.4%
61138
13.6%

reading
Real number (ℝ≥0)

Distinct11
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean7.678515484
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:50.741270image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median8
Q39
95-th percentile10
Maximum13
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.006565486
Coefficient of variation (CV)0.2613220603
Kurtosis0.4853224491
Mean7.678515484
Median Absolute Deviation (MAD)1
Skewness-0.8075881731
Sum63724
Variance4.026305051
MonotonicityNot monotonic
2022-06-09T08:56:50.795382image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
92000
23.9%
81618
19.3%
101378
16.4%
71273
15.2%
6768
 
9.2%
5572
 
6.8%
3246
 
2.9%
4222
 
2.6%
2161
 
1.9%
1351
 
0.6%
(Missing)79
 
0.9%
ValueCountFrequency (%)
110
 
0.1%
2161
 
1.9%
3246
2.9%
4222
 
2.6%
5572
6.8%
ValueCountFrequency (%)
1351
 
0.6%
101378
16.4%
92000
23.9%
81618
19.3%
71273
15.2%

tv
Real number (ℝ≥0)

Distinct10
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean5.304133028
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:50.850067image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q37
95-th percentile9
Maximum10
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.529135318
Coefficient of variation (CV)0.4768235081
Kurtosis-0.892945765
Mean5.304133028
Median Absolute Deviation (MAD)2
Skewness-0.1211393622
Sum44019
Variance6.396525456
MonotonicityNot monotonic
2022-06-09T08:56:50.899028image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
61381
16.5%
51073
12.8%
71023
12.2%
8993
11.9%
1858
10.2%
4846
10.1%
2651
7.8%
3651
7.8%
9464
 
5.5%
10359
 
4.3%
(Missing)79
 
0.9%
ValueCountFrequency (%)
1858
10.2%
2651
7.8%
3651
7.8%
4846
10.1%
51073
12.8%
ValueCountFrequency (%)
10359
 
4.3%
9464
 
5.5%
8993
11.9%
71023
12.2%
61381
16.5%

theater
Real number (ℝ≥0)

Distinct11
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean6.776117605
Minimum0
Maximum10
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:50.953309image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median7
Q39
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.235152304
Coefficient of variation (CV)0.3298573659
Kurtosis-0.287373527
Mean6.776117605
Median Absolute Deviation (MAD)2
Skewness-0.5483595952
Sum56235
Variance4.995905822
MonotonicityNot monotonic
2022-06-09T08:56:51.009000image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
71618
19.3%
81338
16.0%
91197
14.3%
5969
11.6%
6950
11.3%
10887
10.6%
4534
 
6.4%
3452
 
5.4%
2189
 
2.3%
1147
 
1.8%
(Missing)79
 
0.9%
ValueCountFrequency (%)
018
 
0.2%
1147
 
1.8%
2189
 
2.3%
3452
5.4%
4534
6.4%
ValueCountFrequency (%)
10887
10.6%
91197
14.3%
81338
16.0%
71618
19.3%
6950
11.3%

movies
Real number (ℝ≥0)

Distinct10
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean7.919628871
Minimum0
Maximum10
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:51.064341image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q17
median8
Q39
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.700927414
Coefficient of variation (CV)0.2147736266
Kurtosis1.595548991
Mean7.919628871
Median Absolute Deviation (MAD)1
Skewness-1.081645988
Sum65725
Variance2.893154068
MonotonicityNot monotonic
2022-06-09T08:56:51.119753image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
82021
24.1%
91931
23.0%
71528
18.2%
101493
17.8%
6603
 
7.2%
5348
 
4.2%
4181
 
2.2%
3118
 
1.4%
258
 
0.7%
018
 
0.2%
(Missing)79
 
0.9%
ValueCountFrequency (%)
018
 
0.2%
258
 
0.7%
3118
 
1.4%
4181
2.2%
5348
4.2%
ValueCountFrequency (%)
101493
17.8%
91931
23.0%
82021
24.1%
71528
18.2%
6603
 
7.2%

concerts
Real number (ℝ≥0)

Distinct11
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean6.825400651
Minimum0
Maximum10
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:51.174745image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median7
Q38
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.156282629
Coefficient of variation (CV)0.3159203012
Kurtosis-0.2342877792
Mean6.825400651
Median Absolute Deviation (MAD)1
Skewness-0.5380026386
Sum56644
Variance4.649554777
MonotonicityNot monotonic
2022-06-09T08:56:51.228189image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
71531
18.3%
81450
17.3%
61198
14.3%
91158
13.8%
5888
10.6%
10859
10.3%
4475
 
5.7%
3419
 
5.0%
2227
 
2.7%
176
 
0.9%
(Missing)79
 
0.9%
ValueCountFrequency (%)
018
 
0.2%
176
 
0.9%
2227
2.7%
3419
5.0%
4475
5.7%
ValueCountFrequency (%)
10859
10.3%
91158
13.8%
81450
17.3%
71531
18.3%
61198
14.3%

music
Real number (ℝ≥0)

Distinct10
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean7.851066394
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:51.282810image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q17
median8
Q39
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.791826804
Coefficient of variation (CV)0.2282271878
Kurtosis0.5706072865
Mean7.851066394
Median Absolute Deviation (MAD)1
Skewness-0.8126973121
Sum65156
Variance3.210643295
MonotonicityNot monotonic
2022-06-09T08:56:51.333295image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
101789
21.4%
81652
19.7%
91633
19.5%
71545
18.4%
6744
8.9%
5586
 
7.0%
4220
 
2.6%
347
 
0.6%
143
 
0.5%
240
 
0.5%
(Missing)79
 
0.9%
ValueCountFrequency (%)
143
 
0.5%
240
 
0.5%
347
 
0.6%
4220
 
2.6%
5586
7.0%
ValueCountFrequency (%)
101789
21.4%
91633
19.5%
81652
19.7%
71545
18.4%
6744
8.9%

shopping
Real number (ℝ≥0)

Distinct10
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean5.631280877
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:51.387950image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q38
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.60891272
Coefficient of variation (CV)0.4632893967
Kurtosis-1.009224665
Mean5.631280877
Median Absolute Deviation (MAD)2
Skewness-0.1060211643
Sum46734
Variance6.806425583
MonotonicityNot monotonic
2022-06-09T08:56:51.441112image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
71198
14.3%
51135
13.5%
61004
12.0%
2936
11.2%
8831
9.9%
9796
9.5%
4734
8.8%
3599
7.1%
10574
6.9%
1492
5.9%
(Missing)79
 
0.9%
ValueCountFrequency (%)
1492
5.9%
2936
11.2%
3599
7.1%
4734
8.8%
51135
13.5%
ValueCountFrequency (%)
10574
6.9%
9796
9.5%
8831
9.9%
71198
14.3%
61004
12.0%

yoga
Real number (ℝ≥0)

Distinct11
Distinct (%)0.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean4.339197494
Minimum0
Maximum10
Zeros36
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:51.493899image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q37
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.717611679
Coefficient of variation (CV)0.6262936138
Kurtosis-0.9911693494
Mean4.339197494
Median Absolute Deviation (MAD)2
Skewness0.398163776
Sum36011
Variance7.385413239
MonotonicityNot monotonic
2022-06-09T08:56:51.548380image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
11549
18.5%
21212
14.5%
31044
12.5%
7848
10.1%
6844
10.1%
5819
9.8%
4705
8.4%
8505
 
6.0%
9419
 
5.0%
10318
 
3.8%
(Missing)79
 
0.9%
ValueCountFrequency (%)
036
 
0.4%
11549
18.5%
21212
14.5%
31044
12.5%
4705
8.4%
ValueCountFrequency (%)
10318
 
3.8%
9419
5.0%
8505
6.0%
7848
10.1%
6844
10.1%

exphappy
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)0.1%
Missing101
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean5.534130724
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:51.603041image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q37
95-th percentile8
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.73405907
Coefficient of variation (CV)0.3133390151
Kurtosis0.1522366634
Mean5.534130724
Median Absolute Deviation (MAD)1
Skewness-0.1371911653
Sum45806
Variance3.006960859
MonotonicityNot monotonic
2022-06-09T08:56:51.801789image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
52033
24.3%
62003
23.9%
71475
17.6%
4793
 
9.5%
3706
 
8.4%
8513
 
6.1%
2297
 
3.5%
9216
 
2.6%
10125
 
1.5%
1116
 
1.4%
(Missing)101
 
1.2%
ValueCountFrequency (%)
1116
 
1.4%
2297
 
3.5%
3706
 
8.4%
4793
 
9.5%
52033
24.3%
ValueCountFrequency (%)
10125
 
1.5%
9216
 
2.6%
8513
 
6.1%
71475
17.6%
62003
23.9%

expnum
Real number (ℝ≥0)

MISSING
ZEROS

Distinct18
Distinct (%)1.0%
Missing6578
Missing (%)78.5%
Infinite0
Infinite (%)0.0%
Mean5.570555556
Minimum0
Maximum20
Zeros114
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:51.857419image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q38
95-th percentile18
Maximum20
Range20
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.762569423
Coefficient of variation (CV)0.85495412
Kurtosis1.489697046
Mean5.570555556
Median Absolute Deviation (MAD)2
Skewness1.394182937
Sum10027
Variance22.68206751
MonotonicityNot monotonic
2022-06-09T08:56:51.914685image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
3270
 
3.2%
2260
 
3.1%
5230
 
2.7%
4205
 
2.4%
10178
 
2.1%
1124
 
1.5%
0114
 
1.4%
691
 
1.1%
851
 
0.6%
2050
 
0.6%
Other values (8)227
 
2.7%
(Missing)6578
78.5%
ValueCountFrequency (%)
0114
1.4%
1124
1.5%
2260
3.1%
3270
3.2%
4205
2.4%
ValueCountFrequency (%)
2050
0.6%
1910
 
0.1%
1836
0.4%
1540
0.5%
1418
 
0.2%

attr1_1
Real number (ℝ≥0)

Distinct94
Distinct (%)1.1%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean22.51463188
Minimum0
Maximum100
Zeros21
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:51.988857image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q115
median20
Q325
95-th percentile50
Maximum100
Range100
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.58767386
Coefficient of variation (CV)0.5590885927
Kurtosis6.98272294
Mean22.51463188
Median Absolute Deviation (MAD)5
Skewness2.173591953
Sum186848.93
Variance158.4495331
MonotonicityNot monotonic
2022-06-09T08:56:52.064916image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201671
19.9%
15868
 
10.4%
25821
 
9.8%
10807
 
9.6%
30679
 
8.1%
40360
 
4.3%
50301
 
3.6%
35212
 
2.5%
16158
 
1.9%
15.38136
 
1.6%
Other values (84)2286
27.3%
ValueCountFrequency (%)
021
 
0.3%
29
 
0.1%
560
0.7%
6.6719
 
0.2%
721
 
0.3%
ValueCountFrequency (%)
10010
 
0.1%
9518
0.2%
909
 
0.1%
8010
 
0.1%
7538
0.5%

sinc1_1
Real number (ℝ≥0)

ZEROS

Distinct78
Distinct (%)0.9%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean17.39638872
Minimum0
Maximum60
Zeros208
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:52.139878image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q115
median18.18
Q320
95-th percentile30
Maximum60
Range60
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.046700286
Coefficient of variation (CV)0.4050668445
Kurtosis2.509904837
Mean17.39638872
Median Absolute Deviation (MAD)3.18
Skewness0.2922476031
Sum144372.63
Variance49.65598492
MonotonicityNot monotonic
2022-06-09T08:56:52.211401image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202269
27.1%
101038
12.4%
15976
11.6%
25645
 
7.7%
30341
 
4.1%
5303
 
3.6%
18280
 
3.3%
0208
 
2.5%
16155
 
1.9%
16.67101
 
1.2%
Other values (68)1983
23.7%
(Missing)79
 
0.9%
ValueCountFrequency (%)
0208
2.5%
118
 
0.2%
219
 
0.2%
340
 
0.5%
5303
3.6%
ValueCountFrequency (%)
609
 
0.1%
4714
 
0.2%
4076
0.9%
3559
0.7%
3218
 
0.2%

intel1_1
Real number (ℝ≥0)

Distinct65
Distinct (%)0.8%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean20.26561272
Minimum0
Maximum50
Zeros83
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:52.285783image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q117.39
median20
Q323.81
95-th percentile30
Maximum50
Range50
Interquartile range (IQR)6.42

Descriptive statistics

Standard deviation6.783002873
Coefficient of variation (CV)0.3347050477
Kurtosis3.146384629
Mean20.26561272
Median Absolute Deviation (MAD)2.73
Skewness0.5787367986
Sum168184.32
Variance46.00912798
MonotonicityNot monotonic
2022-06-09T08:56:52.359686image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202715
32.4%
25989
 
11.8%
30649
 
7.7%
15634
 
7.6%
10610
 
7.3%
18298
 
3.6%
35135
 
1.6%
19135
 
1.6%
16130
 
1.6%
19.2390
 
1.1%
Other values (55)1914
22.8%
ValueCountFrequency (%)
083
1.0%
128
 
0.3%
29
 
0.1%
589
1.1%
822
 
0.3%
ValueCountFrequency (%)
5048
 
0.6%
4531
 
0.4%
42.8614
 
0.2%
4069
0.8%
35135
1.6%

fun1_1
Real number (ℝ≥0)

MISSING

Distinct71
Distinct (%)0.9%
Missing89
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean17.45704307
Minimum0
Maximum50
Zeros32
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:52.435723image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q115
median18
Q320
95-th percentile27
Maximum50
Range50
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.085239143
Coefficient of variation (CV)0.3485836129
Kurtosis2.882716512
Mean17.45704307
Median Absolute Deviation (MAD)3
Skewness0.5668122328
Sum144701.43
Variance37.03013543
MonotonicityNot monotonic
2022-06-09T08:56:52.512544image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202237
26.7%
151213
14.5%
101179
14.1%
25568
 
6.8%
30296
 
3.5%
5246
 
2.9%
18214
 
2.6%
16196
 
2.3%
17133
 
1.6%
19.23130
 
1.6%
Other values (61)1877
22.4%
ValueCountFrequency (%)
032
 
0.4%
118
 
0.2%
29
 
0.1%
318
 
0.2%
5246
2.9%
ValueCountFrequency (%)
5020
 
0.2%
4510
 
0.1%
4040
 
0.5%
3529
 
0.3%
30296
3.5%

amb1_1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct82
Distinct (%)1.0%
Missing99
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean10.68253895
Minimum0
Maximum53
Zeros825
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:52.586628image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median10
Q315
95-th percentile20
Maximum53
Range53
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.124888022
Coefficient of variation (CV)0.5733550842
Kurtosis1.856338499
Mean10.68253895
Median Absolute Deviation (MAD)5
Skewness0.2532273671
Sum88440.74
Variance37.51425328
MonotonicityNot monotonic
2022-06-09T08:56:52.665265image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102009
24.0%
151182
14.1%
51159
13.8%
0825
9.8%
20515
 
6.1%
16169
 
2.0%
18147
 
1.8%
14136
 
1.6%
8117
 
1.4%
1293
 
1.1%
Other values (72)1927
23.0%
(Missing)99
 
1.2%
ValueCountFrequency (%)
0825
9.8%
146
 
0.5%
263
 
0.8%
2.3320
 
0.2%
2.3820
 
0.2%
ValueCountFrequency (%)
5310
 
0.1%
3018
0.2%
2537
0.4%
20.5920
0.2%
20.4110
 
0.1%

shar1_1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct85
Distinct (%)1.0%
Missing121
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean11.84511082
Minimum0
Maximum30
Zeros713
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:52.741767image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.52
median10.64
Q316
95-th percentile20
Maximum30
Range30
Interquartile range (IQR)6.48

Descriptive statistics

Standard deviation6.362153892
Coefficient of variation (CV)0.5371122306
Kurtosis-0.2914608986
Mean11.84511082
Median Absolute Deviation (MAD)4.45
Skewness-0.04144803698
Sum97805.08
Variance40.47700215
MonotonicityNot monotonic
2022-06-09T08:56:52.814071image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102003
23.9%
151065
12.7%
20976
11.6%
5953
11.4%
0713
 
8.5%
16152
 
1.8%
18148
 
1.8%
12113
 
1.3%
14110
 
1.3%
891
 
1.1%
Other values (75)1933
23.1%
(Missing)121
 
1.4%
ValueCountFrequency (%)
0713
8.5%
155
 
0.7%
219
 
0.2%
2.2710
 
0.1%
2.3820
 
0.2%
ValueCountFrequency (%)
3086
1.0%
2587
1.0%
23.8120
 
0.2%
22.2210
 
0.1%
2259
0.7%

attr4_1
Real number (ℝ≥0)

MISSING

Distinct33
Distinct (%)0.5%
Missing1889
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean26.39435969
Minimum5
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:52.884986image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8
Q110
median25
Q335
95-th percentile50
Maximum95
Range90
Interquartile range (IQR)25

Descriptive statistics

Standard deviation16.29704531
Coefficient of variation (CV)0.6174442382
Kurtosis1.507921272
Mean26.39435969
Median Absolute Deviation (MAD)10
Skewness1.089065991
Sum171273
Variance265.5936858
MonotonicityNot monotonic
2022-06-09T08:56:52.945666image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
301062
12.7%
20842
10.1%
25656
 
7.8%
50611
 
7.3%
10559
 
6.7%
40489
 
5.8%
9480
 
5.7%
8433
 
5.2%
15310
 
3.7%
35212
 
2.5%
Other values (23)835
10.0%
(Missing)1889
22.5%
ValueCountFrequency (%)
530
 
0.4%
655
 
0.7%
7158
 
1.9%
8433
5.2%
9480
5.7%
ValueCountFrequency (%)
9518
0.2%
9022
0.3%
8520
0.2%
8019
0.2%
7541
0.5%

sinc4_1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct24
Distinct (%)0.4%
Missing1889
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean11.07150562
Minimum0
Maximum35
Zeros363
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:53.006520image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median10
Q315
95-th percentile20
Maximum35
Range35
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.659232642
Coefficient of variation (CV)0.6014748912
Kurtosis0.6671575871
Mean11.07150562
Median Absolute Deviation (MAD)5
Skewness0.8137099833
Sum71843
Variance44.34537938
MonotonicityNot monotonic
2022-06-09T08:56:53.070087image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
101696
20.2%
20868
10.4%
5844
10.1%
15730
 
8.7%
0363
 
4.3%
7358
 
4.3%
8347
 
4.1%
9249
 
3.0%
6215
 
2.6%
30169
 
2.0%
Other values (14)650
 
7.8%
(Missing)1889
22.5%
ValueCountFrequency (%)
0363
4.3%
118
 
0.2%
224
 
0.3%
3103
 
1.2%
486
 
1.0%
ValueCountFrequency (%)
3523
 
0.3%
30169
 
2.0%
2597
 
1.2%
229
 
0.1%
20868
10.4%

intel4_1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct24
Distinct (%)0.4%
Missing1889
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean12.6363076
Minimum0
Maximum35
Zeros125
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:53.136257image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median10
Q316
95-th percentile25
Maximum35
Range35
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.717476401
Coefficient of variation (CV)0.5316012094
Kurtosis0.1570279386
Mean12.6363076
Median Absolute Deviation (MAD)5
Skewness0.6781199297
Sum81997
Variance45.1244892
MonotonicityNot monotonic
2022-06-09T08:56:53.195324image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
101536
18.3%
201064
12.7%
15997
11.9%
5438
 
5.2%
7415
 
5.0%
8388
 
4.6%
6292
 
3.5%
30244
 
2.9%
25186
 
2.2%
9181
 
2.2%
Other values (14)748
 
8.9%
(Missing)1889
22.5%
ValueCountFrequency (%)
0125
1.5%
149
 
0.6%
260
0.7%
320
 
0.2%
4101
1.2%
ValueCountFrequency (%)
3514
 
0.2%
30244
 
2.9%
25186
 
2.2%
229
 
0.1%
201064
12.7%

fun4_1
Real number (ℝ≥0)

MISSING

Distinct22
Distinct (%)0.3%
Missing1889
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean15.56680536
Minimum0
Maximum45
Zeros41
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:53.258554image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median15
Q320
95-th percentile30
Maximum45
Range45
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.328256483
Coefficient of variation (CV)0.4707617467
Kurtosis-0.03375575048
Mean15.56680536
Median Absolute Deviation (MAD)5
Skewness0.5073197478
Sum101013
Variance53.70334308
MonotonicityNot monotonic
2022-06-09T08:56:53.314562image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
201819
21.7%
101142
13.6%
15808
9.6%
8459
 
5.5%
30458
 
5.5%
9394
 
4.7%
25388
 
4.6%
7311
 
3.7%
5252
 
3.0%
1883
 
1.0%
Other values (12)375
 
4.5%
(Missing)1889
22.5%
ValueCountFrequency (%)
041
 
0.5%
118
 
0.2%
420
 
0.2%
5252
3.0%
670
 
0.8%
ValueCountFrequency (%)
4514
 
0.2%
4025
 
0.3%
30458
5.5%
25388
4.6%
2321
 
0.3%

amb4_1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct25
Distinct (%)0.4%
Missing1889
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean9.780089382
Minimum0
Maximum50
Zeros563
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:53.373013image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median10
Q315
95-th percentile20
Maximum50
Range50
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.998427553
Coefficient of variation (CV)0.7155790995
Kurtosis5.355094995
Mean9.780089382
Median Absolute Deviation (MAD)5
Skewness1.559215412
Sum63463
Variance48.97798822
MonotonicityNot monotonic
2022-06-09T08:56:53.437069image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
101663
19.8%
51004
12.0%
15748
 
8.9%
0563
 
6.7%
20466
 
5.6%
7294
 
3.5%
8282
 
3.4%
6253
 
3.0%
9207
 
2.5%
3128
 
1.5%
Other values (15)881
10.5%
(Missing)1889
22.5%
ValueCountFrequency (%)
0563
6.7%
1122
 
1.5%
2103
 
1.2%
3128
 
1.5%
494
 
1.1%
ValueCountFrequency (%)
5034
 
0.4%
3321
 
0.3%
3084
1.0%
2720
 
0.2%
25108
1.3%

shar4_1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct25
Distinct (%)0.4%
Missing1911
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean11.0148446
Minimum0
Maximum40
Zeros271
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:53.499777image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median10
Q315
95-th percentile20
Maximum40
Range40
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.060150281
Coefficient of variation (CV)0.5501802797
Kurtosis1.188654717
Mean11.0148446
Median Absolute Deviation (MAD)5
Skewness0.7704388694
Sum71233
Variance36.72542142
MonotonicityNot monotonic
2022-06-09T08:56:53.566748image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
101825
21.8%
15853
10.2%
20796
9.5%
5765
9.1%
8353
 
4.2%
7338
 
4.0%
9286
 
3.4%
0271
 
3.2%
6199
 
2.4%
4116
 
1.4%
Other values (15)665
 
7.9%
(Missing)1911
22.8%
ValueCountFrequency (%)
0271
3.2%
148
 
0.6%
236
 
0.4%
330
 
0.4%
4116
1.4%
ValueCountFrequency (%)
4018
 
0.2%
3053
 
0.6%
25112
 
1.3%
2421
 
0.3%
20796
9.5%

attr2_1
Real number (ℝ≥0)

Distinct87
Distinct (%)1.0%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean30.36219183
Minimum0
Maximum100
Zeros15
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:53.644900image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q120
median25
Q340
95-th percentile60
Maximum100
Range100
Interquartile range (IQR)20

Descriptive statistics

Standard deviation16.24993683
Coefficient of variation (CV)0.5352030222
Kurtosis2.619767206
Mean30.36219183
Median Absolute Deviation (MAD)6
Skewness1.529049026
Sum251975.83
Variance264.060447
MonotonicityNot monotonic
2022-06-09T08:56:53.723111image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201313
15.7%
301260
15.0%
25895
10.7%
50745
 
8.9%
40639
 
7.6%
15377
 
4.5%
60273
 
3.3%
35268
 
3.2%
10249
 
3.0%
18127
 
1.5%
Other values (77)2153
25.7%
ValueCountFrequency (%)
015
 
0.2%
9.0926
 
0.3%
10249
3.0%
11.6320
 
0.2%
12.2420
 
0.2%
ValueCountFrequency (%)
10019
 
0.2%
9550
0.6%
9031
 
0.4%
80108
1.3%
7528
 
0.3%

sinc2_1
Real number (ℝ≥0)

ZEROS

Distinct80
Distinct (%)1.0%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean13.27369081
Minimum0
Maximum50
Zeros430
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:53.806204image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median15
Q318.75
95-th percentile25
Maximum50
Range50
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation6.976775485
Coefficient of variation (CV)0.5256093115
Kurtosis0.5532813927
Mean13.27369081
Median Absolute Deviation (MAD)5
Skewness0.239429921
Sum110158.36
Variance48.67539617
MonotonicityNot monotonic
2022-06-09T08:56:53.892237image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101848
22.1%
201196
14.3%
151148
13.7%
51063
12.7%
0430
 
5.1%
25329
 
3.9%
30176
 
2.1%
16.67123
 
1.5%
1899
 
1.2%
196
 
1.1%
Other values (70)1791
21.4%
ValueCountFrequency (%)
0430
5.1%
196
 
1.1%
237
 
0.4%
349
 
0.6%
51063
12.7%
ValueCountFrequency (%)
5010
 
0.1%
4010
 
0.1%
30176
2.1%
2818
 
0.2%
25329
3.9%

intel2_1
Real number (ℝ≥0)

ZEROS

Distinct78
Distinct (%)0.9%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean14.41689119
Minimum0
Maximum40
Zeros254
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:53.971365image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median15
Q320
95-th percentile25
Maximum40
Range40
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.263303722
Coefficient of variation (CV)0.4344420471
Kurtosis0.7950424186
Mean14.41689119
Median Absolute Deviation (MAD)5
Skewness0.206938326
Sum119645.78
Variance39.22897351
MonotonicityNot monotonic
2022-06-09T08:56:54.050436image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102176
26.0%
201482
17.7%
151194
14.3%
5455
 
5.4%
25326
 
3.9%
0254
 
3.0%
30188
 
2.2%
16128
 
1.5%
16.67128
 
1.5%
18116
 
1.4%
Other values (68)1852
22.1%
ValueCountFrequency (%)
0254
3.0%
143
 
0.5%
228
 
0.3%
414
 
0.2%
5455
5.4%
ValueCountFrequency (%)
4031
 
0.4%
30188
2.2%
25326
3.9%
2418
 
0.2%
2321
 
0.3%

fun2_1
Real number (ℝ≥0)

Distinct74
Distinct (%)0.9%
Missing79
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean18.42261959
Minimum0
Maximum50
Zeros83
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:54.129407image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q115
median20
Q320
95-th percentile30
Maximum50
Range50
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.577929355
Coefficient of variation (CV)0.357057221
Kurtosis1.330568802
Mean18.42261959
Median Absolute Deviation (MAD)5
Skewness0.1611037729
Sum152889.32
Variance43.2691546
MonotonicityNot monotonic
2022-06-09T08:56:54.427957image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202364
28.2%
151185
14.1%
101062
12.7%
25755
 
9.0%
30661
 
7.9%
18168
 
2.0%
5163
 
1.9%
16.67118
 
1.4%
083
 
1.0%
18.1880
 
1.0%
Other values (64)1660
19.8%
(Missing)79
 
0.9%
ValueCountFrequency (%)
083
1.0%
134
 
0.4%
318
 
0.2%
424
 
0.3%
5163
1.9%
ValueCountFrequency (%)
5014
0.2%
4410
 
0.1%
4031
0.4%
3514
0.2%
3320
0.2%

amb2_1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct77
Distinct (%)0.9%
Missing89
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean11.74449873
Minimum0
Maximum50
Zeros609
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:54.509694image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median10
Q315
95-th percentile24.14
Maximum50
Range50
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.886531732
Coefficient of variation (CV)0.5863623377
Kurtosis2.020636508
Mean11.74449873
Median Absolute Deviation (MAD)5
Skewness0.6840644627
Sum97350.15
Variance47.4243193
MonotonicityNot monotonic
2022-06-09T08:56:54.587951image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102264
27.0%
51236
14.8%
15936
11.2%
20712
 
8.5%
0609
 
7.3%
25214
 
2.6%
30166
 
2.0%
14.29124
 
1.5%
13119
 
1.4%
16113
 
1.3%
Other values (67)1796
21.4%
ValueCountFrequency (%)
0609
7.3%
182
 
1.0%
263
 
0.8%
2.7820
 
0.2%
318
 
0.2%
ValueCountFrequency (%)
5021
 
0.3%
356
 
0.1%
30166
2.0%
25214
2.6%
24.1420
 
0.2%

shar2_1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct73
Distinct (%)0.9%
Missing89
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean11.85481723
Minimum0
Maximum30
Zeros553
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:54.666161image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median10
Q315.63
95-th percentile20
Maximum30
Range30
Interquartile range (IQR)5.63

Descriptive statistics

Standard deviation6.167314134
Coefficient of variation (CV)0.5202369649
Kurtosis-0.1068877481
Mean11.85481723
Median Absolute Deviation (MAD)5
Skewness0.09529802868
Sum98264.58
Variance38.03576363
MonotonicityNot monotonic
2022-06-09T08:56:54.741168image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102475
29.5%
51037
12.4%
15942
 
11.2%
20899
 
10.7%
0553
 
6.6%
25179
 
2.1%
18126
 
1.5%
16.67118
 
1.4%
1692
 
1.1%
14.2991
 
1.1%
Other values (63)1777
21.2%
(Missing)89
 
1.1%
ValueCountFrequency (%)
0553
6.6%
173
 
0.9%
222
 
0.3%
2.6310
 
0.1%
324
 
0.3%
ValueCountFrequency (%)
3083
 
1.0%
25179
 
2.1%
2314
 
0.2%
22.2220
 
0.2%
20899
10.7%

attr3_1
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.1%
Missing105
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean7.08473347
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:54.810525image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q16
median7
Q38
95-th percentile9
Maximum10
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.395783312
Coefficient of variation (CV)0.1970128189
Kurtosis0.8128591305
Mean7.08473347
Median Absolute Deviation (MAD)1
Skewness-0.589574893
Sum58612
Variance1.948211054
MonotonicityNot monotonic
2022-06-09T08:56:54.865588image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
72914
34.8%
82217
26.5%
61100
 
13.1%
9729
 
8.7%
5642
 
7.7%
10268
 
3.2%
4238
 
2.8%
3145
 
1.7%
220
 
0.2%
(Missing)105
 
1.3%
ValueCountFrequency (%)
220
 
0.2%
3145
 
1.7%
4238
 
2.8%
5642
7.7%
61100
13.1%
ValueCountFrequency (%)
10268
 
3.2%
9729
 
8.7%
82217
26.5%
72914
34.8%
61100
 
13.1%

sinc3_1
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.1%
Missing105
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean8.294935332
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:54.928489image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q18
median8
Q39
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.407459652
Coefficient of variation (CV)0.1696769892
Kurtosis1.857169746
Mean8.294935332
Median Absolute Deviation (MAD)1
Skewness-1.080209418
Sum68624
Variance1.980942673
MonotonicityNot monotonic
2022-06-09T08:56:54.987010image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
92393
28.6%
82221
26.5%
101691
20.2%
71159
13.8%
6501
 
6.0%
5154
 
1.8%
494
 
1.1%
236
 
0.4%
324
 
0.3%
(Missing)105
 
1.3%
ValueCountFrequency (%)
236
 
0.4%
324
 
0.3%
494
 
1.1%
5154
 
1.8%
6501
6.0%
ValueCountFrequency (%)
101691
20.2%
92393
28.6%
82221
26.5%
71159
13.8%
6501
 
6.0%

fun3_1
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.1%
Missing105
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean7.704460293
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:55.049011image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q17
median8
Q39
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.564320715
Coefficient of variation (CV)0.2030409212
Kurtosis1.015217788
Mean7.704460293
Median Absolute Deviation (MAD)1
Skewness-0.8249470828
Sum63739
Variance2.447099301
MonotonicityNot monotonic
2022-06-09T08:56:55.103540image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
82274
27.1%
91789
21.4%
71698
20.3%
6957
11.4%
10912
10.9%
5363
 
4.3%
3115
 
1.4%
4104
 
1.2%
261
 
0.7%
(Missing)105
 
1.3%
ValueCountFrequency (%)
261
 
0.7%
3115
 
1.4%
4104
 
1.2%
5363
 
4.3%
6957
11.4%
ValueCountFrequency (%)
10912
10.9%
91789
21.4%
82274
27.1%
71698
20.3%
6957
11.4%

intel3_1
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)0.1%
Missing105
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean8.403964704
Minimum3
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:55.158601image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q18
median8
Q39
95-th percentile10
Maximum10
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.076608034
Coefficient of variation (CV)0.128107158
Kurtosis0.7967487767
Mean8.403964704
Median Absolute Deviation (MAD)1
Skewness-0.559008749
Sum69526
Variance1.159084859
MonotonicityNot monotonic
2022-06-09T08:56:55.208192image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
82872
34.3%
92627
31.4%
101307
15.6%
71158
13.8%
6214
 
2.6%
576
 
0.9%
410
 
0.1%
39
 
0.1%
(Missing)105
 
1.3%
ValueCountFrequency (%)
39
 
0.1%
410
 
0.1%
576
 
0.9%
6214
 
2.6%
71158
13.8%
ValueCountFrequency (%)
101307
15.6%
92627
31.4%
82872
34.3%
71158
13.8%
6214
 
2.6%

amb3_1
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.1%
Missing105
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean7.578387526
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:55.264356image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median8
Q39
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.778315266
Coefficient of variation (CV)0.2346561534
Kurtosis0.3749143126
Mean7.578387526
Median Absolute Deviation (MAD)1
Skewness-0.7773336138
Sum62696
Variance3.162405185
MonotonicityNot monotonic
2022-06-09T08:56:55.322860image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
82028
24.2%
71662
19.8%
91612
19.2%
101121
13.4%
6717
 
8.6%
5629
 
7.5%
4257
 
3.1%
3151
 
1.8%
296
 
1.1%
(Missing)105
 
1.3%
ValueCountFrequency (%)
296
 
1.1%
3151
 
1.8%
4257
 
3.1%
5629
7.5%
6717
8.6%
ValueCountFrequency (%)
101121
13.4%
91612
19.2%
82028
24.2%
71662
19.8%
6717
 
8.6%

attr5_1
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.2%
Missing3472
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean6.941907868
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:55.387932image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median7
Q38
95-th percentile9
Maximum10
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.498653405
Coefficient of variation (CV)0.2158849459
Kurtosis0.8479561558
Mean6.941907868
Median Absolute Deviation (MAD)1
Skewness-0.6469167491
Sum34057
Variance2.245962027
MonotonicityNot monotonic
2022-06-09T08:56:55.448919image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
71711
20.4%
81158
 
13.8%
6734
 
8.8%
5418
 
5.0%
9406
 
4.8%
10160
 
1.9%
4150
 
1.8%
3130
 
1.6%
239
 
0.5%
(Missing)3472
41.4%
ValueCountFrequency (%)
239
 
0.5%
3130
 
1.6%
4150
 
1.8%
5418
5.0%
6734
8.8%
ValueCountFrequency (%)
10160
 
1.9%
9406
 
4.8%
81158
13.8%
71711
20.4%
6734
8.8%

sinc5_1
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)0.2%
Missing3472
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean7.927231961
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:55.515514image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q17
median8
Q39
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.627053509
Coefficient of variation (CV)0.2052486312
Kurtosis1.043633655
Mean7.927231961
Median Absolute Deviation (MAD)1
Skewness-0.8283850606
Sum38891
Variance2.647303121
MonotonicityNot monotonic
2022-06-09T08:56:55.570159image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
81212
 
14.5%
9991
 
11.8%
10943
 
11.3%
7867
 
10.3%
6564
 
6.7%
5207
 
2.5%
452
 
0.6%
240
 
0.5%
320
 
0.2%
110
 
0.1%
(Missing)3472
41.4%
ValueCountFrequency (%)
110
 
0.1%
240
 
0.5%
320
 
0.2%
452
 
0.6%
5207
2.5%
ValueCountFrequency (%)
10943
11.3%
9991
11.8%
81212
14.5%
7867
10.3%
6564
6.7%

intel5_1
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)0.2%
Missing3472
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean8.284345699
Minimum3
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:55.624624image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q18
median8
Q39
95-th percentile10
Maximum10
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.283656995
Coefficient of variation (CV)0.1549497138
Kurtosis1.081152078
Mean8.284345699
Median Absolute Deviation (MAD)1
Skewness-0.8084610544
Sum40643
Variance1.64777528
MonotonicityNot monotonic
2022-06-09T08:56:55.678915image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
81525
18.2%
91353
 
16.1%
10889
 
10.6%
7757
 
9.0%
6263
 
3.1%
478
 
0.9%
532
 
0.4%
39
 
0.1%
(Missing)3472
41.4%
ValueCountFrequency (%)
39
 
0.1%
478
 
0.9%
532
 
0.4%
6263
 
3.1%
7757
9.0%
ValueCountFrequency (%)
10889
10.6%
91353
16.1%
81525
18.2%
7757
9.0%
6263
 
3.1%

fun5_1
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.2%
Missing3472
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean7.426212801
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:55.739029image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median8
Q39
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.779128573
Coefficient of variation (CV)0.2395741437
Kurtosis0.2690192645
Mean7.426212801
Median Absolute Deviation (MAD)1
Skewness-0.690689823
Sum36433
Variance3.165298478
MonotonicityNot monotonic
2022-06-09T08:56:55.792543image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
81118
 
13.3%
71109
 
13.2%
9878
 
10.5%
6573
 
6.8%
10566
 
6.8%
5299
 
3.6%
4197
 
2.4%
3111
 
1.3%
255
 
0.7%
(Missing)3472
41.4%
ValueCountFrequency (%)
255
 
0.7%
3111
 
1.3%
4197
 
2.4%
5299
3.6%
6573
6.8%
ValueCountFrequency (%)
10566
6.8%
9878
10.5%
81118
13.3%
71109
13.2%
6573
6.8%

amb5_1
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)0.2%
Missing3472
Missing (%)41.4%
Infinite0
Infinite (%)0.0%
Mean7.617611088
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:55.848954image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q17
median8
Q39
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.773093635
Coefficient of variation (CV)0.2327624258
Kurtosis0.5644878256
Mean7.617611088
Median Absolute Deviation (MAD)1
Skewness-0.7619032379
Sum37372
Variance3.14386104
MonotonicityNot monotonic
2022-06-09T08:56:55.897501image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
91086
 
13.0%
71044
 
12.5%
8912
 
10.9%
10705
 
8.4%
6599
 
7.1%
5312
 
3.7%
4130
 
1.6%
254
 
0.6%
349
 
0.6%
115
 
0.2%
(Missing)3472
41.4%
ValueCountFrequency (%)
115
 
0.2%
254
 
0.6%
349
 
0.6%
4130
1.6%
5312
3.7%
ValueCountFrequency (%)
10705
8.4%
91086
13.0%
8912
10.9%
71044
12.5%
6599
7.1%

dec
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4199092862
Minimum0
Maximum1
Zeros4860
Zeros (%)58.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:55.946375image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4935732524
Coefficient of variation (CV)1.175428285
Kurtosis-1.895079666
Mean0.4199092862
Median Absolute Deviation (MAD)0
Skewness0.3246117461
Sum3518
Variance0.2436145555
MonotonicityNot monotonic
2022-06-09T08:56:55.994327image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
04860
58.0%
13518
42.0%
ValueCountFrequency (%)
04860
58.0%
13518
42.0%
ValueCountFrequency (%)
13518
42.0%
04860
58.0%

attr
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)0.2%
Missing202
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean6.189995108
Minimum0
Maximum10
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:56.047500image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median6
Q38
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.950168866
Coefficient of variation (CV)0.3150517621
Kurtosis-0.09910900002
Mean6.189995108
Median Absolute Deviation (MAD)1
Skewness-0.3209541182
Sum50609.4
Variance3.803158605
MonotonicityNot monotonic
2022-06-09T08:56:56.107480image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
61658
19.8%
71646
19.6%
51260
15.0%
81231
14.7%
4749
8.9%
9540
 
6.4%
3390
 
4.7%
10325
 
3.9%
2244
 
2.9%
1109
 
1.3%
Other values (7)24
 
0.3%
(Missing)202
 
2.4%
ValueCountFrequency (%)
08
 
0.1%
1109
 
1.3%
2244
2.9%
3390
4.7%
3.51
 
< 0.1%
ValueCountFrequency (%)
10325
3.9%
9.91
 
< 0.1%
9.53
 
< 0.1%
9540
6.4%
8.51
 
< 0.1%

sinc
Real number (ℝ≥0)

MISSING

Distinct14
Distinct (%)0.2%
Missing277
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean7.17516356
Minimum0
Maximum10
Zeros9
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:56.164728image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q16
median7
Q38
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.740315102
Coefficient of variation (CV)0.2425470984
Kurtosis0.7443766729
Mean7.17516356
Median Absolute Deviation (MAD)1
Skewness-0.6378991573
Sum58126
Variance3.028696655
MonotonicityNot monotonic
2022-06-09T08:56:56.220322image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
82046
24.4%
71896
22.6%
61255
15.0%
9930
11.1%
10735
 
8.8%
5701
 
8.4%
4278
 
3.3%
3134
 
1.6%
275
 
0.9%
138
 
0.5%
Other values (4)13
 
0.2%
(Missing)277
 
3.3%
ValueCountFrequency (%)
09
 
0.1%
138
 
0.5%
275
 
0.9%
3134
1.6%
4278
3.3%
ValueCountFrequency (%)
10735
 
8.8%
9930
11.1%
8.52
 
< 0.1%
82046
24.4%
7.51
 
< 0.1%

intel
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)0.2%
Missing296
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean7.368596882
Minimum0
Maximum10
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:56.276865image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q16
median7
Q38
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.550452904
Coefficient of variation (CV)0.2104135873
Kurtosis0.755520221
Mean7.368596882
Median Absolute Deviation (MAD)1
Skewness-0.545198179
Sum59553
Variance2.403904206
MonotonicityNot monotonic
2022-06-09T08:56:56.331725image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
82199
26.2%
72023
24.1%
61155
13.8%
91106
13.2%
10675
 
8.1%
5630
 
7.5%
4161
 
1.9%
369
 
0.8%
234
 
0.4%
113
 
0.2%
Other values (7)17
 
0.2%
(Missing)296
 
3.5%
ValueCountFrequency (%)
05
 
0.1%
113
 
0.2%
234
0.4%
2.51
 
< 0.1%
369
0.8%
ValueCountFrequency (%)
10675
 
8.1%
9.51
 
< 0.1%
91106
13.2%
8.52
 
< 0.1%
82199
26.2%

fun
Real number (ℝ≥0)

MISSING

Distinct16
Distinct (%)0.2%
Missing350
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean6.400597907
Minimum0
Maximum10
Zeros14
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:56.386820image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median7
Q38
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.953702236
Coefficient of variation (CV)0.3052374582
Kurtosis0.09347633702
Mean6.400597907
Median Absolute Deviation (MAD)1
Skewness-0.4514278221
Sum51384
Variance3.816952427
MonotonicityNot monotonic
2022-06-09T08:56:56.443613image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
71657
19.8%
61532
18.3%
81456
17.4%
51158
13.8%
4607
 
7.2%
9600
 
7.2%
10388
 
4.6%
3281
 
3.4%
2220
 
2.6%
1107
 
1.3%
Other values (6)22
 
0.3%
(Missing)350
 
4.2%
ValueCountFrequency (%)
014
 
0.2%
1107
 
1.3%
2220
 
2.6%
3281
3.4%
4607
7.2%
ValueCountFrequency (%)
10388
 
4.6%
9.51
 
< 0.1%
9600
7.2%
8.51
 
< 0.1%
81456
17.4%

amb
Real number (ℝ≥0)

MISSING

Distinct15
Distinct (%)0.2%
Missing712
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean6.777524133
Minimum0
Maximum10
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:56.499977image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q16
median7
Q38
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.794054739
Coefficient of variation (CV)0.264706507
Kurtosis0.169666824
Mean6.777524133
Median Absolute Deviation (MAD)1
Skewness-0.3940117867
Sum51956.5
Variance3.218632408
MonotonicityNot monotonic
2022-06-09T08:56:56.557221image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
71681
20.1%
81509
18.0%
61425
17.0%
51106
13.2%
9788
9.4%
10470
 
5.6%
4361
 
4.3%
3173
 
2.1%
2101
 
1.2%
142
 
0.5%
Other values (5)10
 
0.1%
(Missing)712
8.5%
ValueCountFrequency (%)
05
 
0.1%
142
 
0.5%
2101
 
1.2%
3173
2.1%
4361
4.3%
ValueCountFrequency (%)
10470
 
5.6%
9.51
 
< 0.1%
9788
9.4%
8.51
 
< 0.1%
81509
18.0%

shar
Real number (ℝ≥0)

MISSING

Distinct15
Distinct (%)0.2%
Missing1067
Missing (%)12.7%
Infinite0
Infinite (%)0.0%
Mean5.474558884
Minimum0
Maximum10
Zeros59
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:56.613174image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q37
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.156362645
Coefficient of variation (CV)0.3938879261
Kurtosis-0.3744667029
Mean5.474558884
Median Absolute Deviation (MAD)1
Skewness-0.192327897
Sum40024.5
Variance4.649899857
MonotonicityNot monotonic
2022-06-09T08:56:56.668951image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
51465
17.5%
61248
14.9%
71150
13.7%
4783
9.3%
8771
9.2%
3588
7.0%
2485
 
5.8%
9317
 
3.8%
1239
 
2.9%
10197
 
2.4%
Other values (5)68
 
0.8%
(Missing)1067
12.7%
ValueCountFrequency (%)
059
 
0.7%
1239
 
2.9%
2485
5.8%
3588
7.0%
4783
9.3%
ValueCountFrequency (%)
10197
 
2.4%
9317
3.8%
8.52
 
< 0.1%
8771
9.2%
7.54
 
< 0.1%

like
Real number (ℝ≥0)

MISSING

Distinct18
Distinct (%)0.2%
Missing240
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean6.134086999
Minimum0
Maximum10
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:56.725928image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median6
Q37
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.84128518
Coefficient of variation (CV)0.3001726549
Kurtosis0.127899203
Mean6.134086999
Median Absolute Deviation (MAD)1
Skewness-0.4514392417
Sum49919.2
Variance3.390331113
MonotonicityNot monotonic
2022-06-09T08:56:56.782259image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
71816
21.7%
61709
20.4%
51319
15.7%
81274
15.2%
4645
 
7.7%
9412
 
4.9%
3396
 
4.7%
2223
 
2.7%
10182
 
2.2%
1110
 
1.3%
Other values (8)52
 
0.6%
(Missing)240
 
2.9%
ValueCountFrequency (%)
08
 
0.1%
1110
 
1.3%
2223
 
2.7%
3396
4.7%
4645
7.7%
ValueCountFrequency (%)
10182
2.2%
9.71
 
< 0.1%
9.53
 
< 0.1%
9412
4.9%
8.59
 
0.1%

prob
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)0.2%
Missing309
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean5.207522617
Minimum0
Maximum10
Zeros49
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:56.840388image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median5
Q37
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.12956481
Coefficient of variation (CV)0.408940098
Kurtosis-0.3236507494
Mean5.207522617
Median Absolute Deviation (MAD)1
Skewness-0.1211664232
Sum42019.5
Variance4.535046279
MonotonicityNot monotonic
2022-06-09T08:56:56.898914image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
51799
21.5%
61395
16.7%
71130
13.5%
4932
11.1%
3708
 
8.5%
8652
 
7.8%
2539
 
6.4%
1415
 
5.0%
9241
 
2.9%
10188
 
2.2%
Other values (9)70
 
0.8%
(Missing)309
 
3.7%
ValueCountFrequency (%)
049
 
0.6%
1415
5.0%
1.51
 
< 0.1%
2539
6.4%
3708
8.5%
ValueCountFrequency (%)
10188
 
2.2%
9.51
 
< 0.1%
9241
 
2.9%
8.54
 
< 0.1%
8652
7.8%

met
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)0.1%
Missing375
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean0.9487692115
Minimum0
Maximum8
Zeros4047
Zeros (%)48.3%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:56.953761image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.989888606
Coefficient of variation (CV)1.043339723
Kurtosis-0.9986440928
Mean0.9487692115
Median Absolute Deviation (MAD)0
Skewness0.2587933172
Sum7593
Variance0.9798794522
MonotonicityNot monotonic
2022-06-09T08:56:57.005747image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
04047
48.3%
23597
42.9%
1351
 
4.2%
73
 
< 0.1%
52
 
< 0.1%
31
 
< 0.1%
81
 
< 0.1%
61
 
< 0.1%
(Missing)375
 
4.5%
ValueCountFrequency (%)
04047
48.3%
1351
 
4.2%
23597
42.9%
31
 
< 0.1%
52
 
< 0.1%
ValueCountFrequency (%)
81
 
< 0.1%
73
< 0.1%
61
 
< 0.1%
52
< 0.1%
31
 
< 0.1%

match_es
Real number (ℝ≥0)

MISSING
ZEROS

Distinct17
Distinct (%)0.2%
Missing1173
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean3.207814018
Minimum0
Maximum18
Zeros616
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:57.065830image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile8
Maximum18
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.44481315
Coefficient of variation (CV)0.7621430469
Kurtosis4.15734929
Mean3.207814018
Median Absolute Deviation (MAD)1
Skewness1.522720194
Sum23112.3
Variance5.977111337
MonotonicityNot monotonic
2022-06-09T08:56:57.121582image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
21695
20.2%
31214
14.5%
1968
11.6%
4875
10.4%
5736
8.8%
0616
 
7.4%
6323
 
3.9%
8173
 
2.1%
7153
 
1.8%
10147
 
1.8%
Other values (7)305
 
3.6%
(Missing)1173
14.0%
ValueCountFrequency (%)
0616
 
7.4%
0.522
 
0.3%
1968
11.6%
1.540
 
0.5%
21695
20.2%
ValueCountFrequency (%)
1820
 
0.2%
1233
 
0.4%
10147
1.8%
9115
1.4%
8173
2.1%

attr1_s
Real number (ℝ≥0)

MISSING

Distinct73
Distinct (%)1.8%
Missing4282
Missing (%)51.1%
Infinite0
Infinite (%)0.0%
Mean20.79162354
Minimum3
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:57.192950image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q114.81
median17.65
Q325
95-th percentile50
Maximum95
Range92
Interquartile range (IQR)10.19

Descriptive statistics

Standard deviation12.96852446
Coefficient of variation (CV)0.6237379413
Kurtosis8.045836525
Mean20.79162354
Median Absolute Deviation (MAD)4.44
Skewness2.387817135
Sum85162.49
Variance168.1826267
MonotonicityNot monotonic
2022-06-09T08:56:57.265459image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20494
 
5.9%
30310
 
3.7%
25293
 
3.5%
15268
 
3.2%
10214
 
2.6%
8202
 
2.4%
7143
 
1.7%
16.67110
 
1.3%
6102
 
1.2%
5096
 
1.1%
Other values (63)1864
22.2%
(Missing)4282
51.1%
ValueCountFrequency (%)
36
 
0.1%
521
 
0.3%
6102
1.2%
6.675
 
0.1%
7143
1.7%
ValueCountFrequency (%)
9518
 
0.2%
8036
 
0.4%
6060
0.7%
5518
 
0.2%
5096
1.1%

sinc1_s
Real number (ℝ≥0)

MISSING
ZEROS

Distinct67
Distinct (%)1.6%
Missing4282
Missing (%)51.1%
Infinite0
Infinite (%)0.0%
Mean15.43425537
Minimum0
Maximum50
Zeros88
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:57.337490image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median15.79
Q320
95-th percentile25
Maximum50
Range50
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.915322272
Coefficient of variation (CV)0.4480502691
Kurtosis2.519807647
Mean15.43425537
Median Absolute Deviation (MAD)4.21
Skewness0.6310537354
Sum63218.71
Variance47.82168213
MonotonicityNot monotonic
2022-06-09T08:56:57.412711image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10558
 
6.7%
20527
 
6.3%
15436
 
5.2%
7144
 
1.7%
30142
 
1.7%
16.67138
 
1.6%
25135
 
1.6%
9133
 
1.6%
8129
 
1.5%
18117
 
1.4%
Other values (57)1637
 
19.5%
(Missing)4282
51.1%
ValueCountFrequency (%)
088
1.1%
118
 
0.2%
2.4420
 
0.2%
4.7620
 
0.2%
5112
1.3%
ValueCountFrequency (%)
5019
 
0.2%
3821
 
0.3%
30142
1.7%
2821
 
0.3%
25135
1.6%

intel1_s
Real number (ℝ≥0)

MISSING

Distinct64
Distinct (%)1.6%
Missing4282
Missing (%)51.1%
Infinite0
Infinite (%)0.0%
Mean17.2437085
Minimum0
Maximum40
Zeros28
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:57.486734image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q110
median18.42
Q320
95-th percentile30
Maximum40
Range40
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.596419833
Coefficient of variation (CV)0.3825406719
Kurtosis0.503497176
Mean17.2437085
Median Absolute Deviation (MAD)2.63
Skewness0.1092249945
Sum70630.23
Variance43.51275462
MonotonicityNot monotonic
2022-06-09T08:56:57.561637image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20859
 
10.3%
10444
 
5.3%
30273
 
3.3%
15216
 
2.6%
9148
 
1.8%
8134
 
1.6%
25127
 
1.5%
18112
 
1.3%
7102
 
1.2%
681
 
1.0%
Other values (54)1600
 
19.1%
(Missing)4282
51.1%
ValueCountFrequency (%)
028
 
0.3%
118
 
0.2%
46
 
0.1%
566
0.8%
681
1.0%
ValueCountFrequency (%)
4029
 
0.3%
356
 
0.1%
30273
3.3%
25127
1.5%
24.3220
 
0.2%

fun1_s
Real number (ℝ≥0)

MISSING

Distinct64
Distinct (%)1.6%
Missing4282
Missing (%)51.1%
Infinite0
Infinite (%)0.0%
Mean15.26086914
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:57.641943image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q110
median15.91
Q320
95-th percentile21.05
Maximum40
Range39
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.356969199
Coefficient of variation (CV)0.3510264815
Kurtosis1.299021854
Mean15.26086914
Median Absolute Deviation (MAD)4.09
Skewness0.2083634909
Sum62508.52
Variance28.697119
MonotonicityNot monotonic
2022-06-09T08:56:58.041086image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20746
 
8.9%
10669
 
8.0%
15403
 
4.8%
8160
 
1.9%
9140
 
1.7%
16.67139
 
1.7%
7136
 
1.6%
18121
 
1.4%
25100
 
1.2%
17.0273
 
0.9%
Other values (54)1409
 
16.8%
(Missing)4282
51.1%
ValueCountFrequency (%)
118
 
0.2%
26
 
0.1%
318
 
0.2%
562
0.7%
645
0.5%
ValueCountFrequency (%)
4019
 
0.2%
3510
 
0.1%
25100
1.2%
23.815
 
0.1%
2318
 
0.2%

amb1_s
Real number (ℝ≥0)

MISSING
ZEROS

Distinct76
Distinct (%)1.9%
Missing4282
Missing (%)51.1%
Infinite0
Infinite (%)0.0%
Mean11.14461914
Minimum0
Maximum23.81
Zeros166
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:58.121272image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median10
Q315
95-th percentile20
Maximum23.81
Range23.81
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.514027537
Coefficient of variation (CV)0.4947703881
Kurtosis-0.7773431001
Mean11.14461914
Median Absolute Deviation (MAD)5
Skewness-0.1226972099
Sum45648.36
Variance30.40449968
MonotonicityNot monotonic
2022-06-09T08:56:58.197154image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10718
 
8.6%
5457
 
5.5%
15341
 
4.1%
20233
 
2.8%
0166
 
2.0%
7139
 
1.7%
8124
 
1.5%
6100
 
1.2%
16.6787
 
1.0%
1485
 
1.0%
Other values (66)1646
 
19.6%
(Missing)4282
51.1%
ValueCountFrequency (%)
0166
2.0%
0.59
 
0.1%
157
 
0.7%
246
 
0.5%
2.385
 
0.1%
ValueCountFrequency (%)
23.8120
 
0.2%
21.9520
 
0.2%
20233
2.8%
19.6140
 
0.5%
19.4416
 
0.2%

shar1_s
Real number (ℝ≥0)

MISSING
ZEROS

Distinct76
Distinct (%)1.9%
Missing4282
Missing (%)51.1%
Infinite0
Infinite (%)0.0%
Mean12.4579248
Minimum0
Maximum30
Zeros129
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:58.274205image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median12.5
Q316.28
95-th percentile20
Maximum30
Range30
Interquartile range (IQR)7.28

Descriptive statistics

Standard deviation5.921788516
Coefficient of variation (CV)0.4753430936
Kurtosis-0.003646292097
Mean12.4579248
Median Absolute Deviation (MAD)3.57
Skewness0.114964186
Sum51027.66
Variance35.06757923
MonotonicityNot monotonic
2022-06-09T08:56:58.352394image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10655
 
7.8%
15388
 
4.6%
20336
 
4.0%
5312
 
3.7%
0129
 
1.5%
8111
 
1.3%
16.67106
 
1.3%
998
 
1.2%
797
 
1.2%
1295
 
1.1%
Other values (66)1769
21.1%
(Missing)4282
51.1%
ValueCountFrequency (%)
0129
1.5%
151
 
0.6%
233
 
0.4%
321
 
0.3%
434
 
0.4%
ValueCountFrequency (%)
3048
0.6%
2591
1.1%
24.1420
 
0.2%
2121
 
0.3%
20.9320
 
0.2%

attr3_s
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.2%
Missing4378
Missing (%)52.3%
Infinite0
Infinite (%)0.0%
Mean7.21125
Minimum3
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:58.421025image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q17
median7
Q38
95-th percentile9
Maximum10
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.415450215
Coefficient of variation (CV)0.1962836145
Kurtosis0.6196420456
Mean7.21125
Median Absolute Deviation (MAD)1
Skewness-0.6009806599
Sum28845
Variance2.003499312
MonotonicityNot monotonic
2022-06-09T08:56:58.477069image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
71267
 
15.1%
81262
 
15.1%
6411
 
4.9%
9367
 
4.4%
5318
 
3.8%
10176
 
2.1%
4119
 
1.4%
370
 
0.8%
7.510
 
0.1%
(Missing)4378
52.3%
ValueCountFrequency (%)
370
 
0.8%
4119
 
1.4%
5318
 
3.8%
6411
 
4.9%
71267
15.1%
ValueCountFrequency (%)
10176
 
2.1%
9367
 
4.4%
81262
15.1%
7.510
 
0.1%
71267
15.1%

sinc3_s
Real number (ℝ≥0)

MISSING

Distinct11
Distinct (%)0.3%
Missing4378
Missing (%)52.3%
Infinite0
Infinite (%)0.0%
Mean8.082
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:58.540402image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q17
median8
Q39
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.455740635
Coefficient of variation (CV)0.1801213356
Kurtosis2.212887014
Mean8.082
Median Absolute Deviation (MAD)1
Skewness-1.143751551
Sum32328
Variance2.119180795
MonotonicityNot monotonic
2022-06-09T08:56:58.599083image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
81254
 
15.0%
91040
 
12.4%
7674
 
8.0%
10610
 
7.3%
6157
 
1.9%
5150
 
1.8%
463
 
0.8%
321
 
0.3%
215
 
0.2%
7.510
 
0.1%
(Missing)4378
52.3%
ValueCountFrequency (%)
16
 
0.1%
215
 
0.2%
321
 
0.3%
463
0.8%
5150
1.8%
ValueCountFrequency (%)
10610
7.3%
91040
12.4%
81254
15.0%
7.510
 
0.1%
7674
8.0%

intel3_s
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)0.2%
Missing4378
Missing (%)52.3%
Infinite0
Infinite (%)0.0%
Mean8.25775
Minimum4
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:58.658260image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q18
median8
Q39
95-th percentile10
Maximum10
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.179316596
Coefficient of variation (CV)0.1428133083
Kurtosis0.4979498473
Mean8.25775
Median Absolute Deviation (MAD)1
Skewness-0.5788580445
Sum33031
Variance1.390787634
MonotonicityNot monotonic
2022-06-09T08:56:58.708189image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
81368
 
16.3%
91104
 
13.2%
7706
 
8.4%
10600
 
7.2%
5124
 
1.5%
682
 
1.0%
410
 
0.1%
9.56
 
0.1%
(Missing)4378
52.3%
ValueCountFrequency (%)
410
 
0.1%
5124
 
1.5%
682
 
1.0%
7706
8.4%
81368
16.3%
ValueCountFrequency (%)
10600
7.2%
9.56
 
0.1%
91104
13.2%
81368
16.3%
7706
8.4%

fun3_s
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)0.2%
Missing4378
Missing (%)52.3%
Infinite0
Infinite (%)0.0%
Mean7.6925
Minimum3
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:58.760814image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q17
median8
Q39
95-th percentile10
Maximum10
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.626839083
Coefficient of variation (CV)0.2114837937
Kurtosis0.2521534
Mean7.6925
Median Absolute Deviation (MAD)1
Skewness-0.6297783097
Sum30770
Variance2.646605401
MonotonicityNot monotonic
2022-06-09T08:56:58.809738image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
81015
 
12.1%
7926
 
11.1%
9712
 
8.5%
10582
 
6.9%
6372
 
4.4%
5222
 
2.6%
386
 
1.0%
485
 
1.0%
(Missing)4378
52.3%
ValueCountFrequency (%)
386
 
1.0%
485
 
1.0%
5222
 
2.6%
6372
4.4%
7926
11.1%
ValueCountFrequency (%)
10582
6.9%
9712
8.5%
81015
12.1%
7926
11.1%
6372
 
4.4%

amb3_s
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.2%
Missing4378
Missing (%)52.3%
Infinite0
Infinite (%)0.0%
Mean7.58925
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:58.865093image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median8
Q39
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.793136434
Coefficient of variation (CV)0.2362732067
Kurtosis-0.140159902
Mean7.58925
Median Absolute Deviation (MAD)1
Skewness-0.7019072852
Sum30357
Variance3.215338272
MonotonicityNot monotonic
2022-06-09T08:56:58.918211image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
9984
 
11.7%
8842
 
10.1%
7710
 
8.5%
10501
 
6.0%
6353
 
4.2%
5338
 
4.0%
4176
 
2.1%
381
 
1.0%
215
 
0.2%
(Missing)4378
52.3%
ValueCountFrequency (%)
215
 
0.2%
381
 
1.0%
4176
2.1%
5338
4.0%
6353
4.2%
ValueCountFrequency (%)
10501
6.0%
9984
11.7%
8842
10.1%
7710
8.5%
6353
 
4.2%

satis_2
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)0.1%
Missing915
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean5.711510117
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:58.974797image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q37
95-th percentile8
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.820763875
Coefficient of variation (CV)0.3187885231
Kurtosis-0.2426438374
Mean5.711510117
Median Absolute Deviation (MAD)1
Skewness-0.3561183661
Sum42625
Variance3.315181088
MonotonicityNot monotonic
2022-06-09T08:56:59.025154image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
61886
22.5%
71383
16.5%
51272
15.2%
8894
10.7%
4722
 
8.6%
3520
 
6.2%
2412
 
4.9%
9239
 
2.9%
173
 
0.9%
1062
 
0.7%
(Missing)915
10.9%
ValueCountFrequency (%)
173
 
0.9%
2412
 
4.9%
3520
6.2%
4722
8.6%
51272
15.2%
ValueCountFrequency (%)
1062
 
0.7%
9239
 
2.9%
8894
10.7%
71383
16.5%
61886
22.5%

length
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing915
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean1.843494573
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:59.075770image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9756621336
Coefficient of variation (CV)0.5292460026
Kurtosis-1.874518673
Mean1.843494573
Median Absolute Deviation (MAD)0
Skewness0.3169066912
Sum13758
Variance0.951916599
MonotonicityNot monotonic
2022-06-09T08:56:59.127730image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
14227
50.5%
33059
36.5%
2177
 
2.1%
(Missing)915
 
10.9%
ValueCountFrequency (%)
14227
50.5%
2177
 
2.1%
33059
36.5%
ValueCountFrequency (%)
33059
36.5%
2177
 
2.1%
14227
50.5%

numdat_2
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)< 0.1%
Missing945
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean2.33808691
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:59.184669image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6312403849
Coefficient of variation (CV)0.2699815744
Kurtosis-0.6816780544
Mean2.33808691
Median Absolute Deviation (MAD)1
Skewness-0.4162261714
Sum17379
Variance0.3984644236
MonotonicityNot monotonic
2022-06-09T08:56:59.235300image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
23622
43.2%
33162
37.7%
1649
 
7.7%
(Missing)945
 
11.3%
ValueCountFrequency (%)
1649
 
7.7%
23622
43.2%
33162
37.7%
ValueCountFrequency (%)
33162
37.7%
23622
43.2%
1649
 
7.7%

attr7_2
Real number (ℝ≥0)

MISSING

Distinct16
Distinct (%)0.8%
Missing6394
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean32.81955645
Minimum10
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:59.293056image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q120
median30
Q340
95-th percentile70
Maximum80
Range70
Interquartile range (IQR)20

Descriptive statistics

Standard deviation17.1552697
Coefficient of variation (CV)0.5227148552
Kurtosis-0.2934737316
Mean32.81955645
Median Absolute Deviation (MAD)10
Skewness0.7161914431
Sum65114
Variance294.3032785
MonotonicityNot monotonic
2022-06-09T08:56:59.349351image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
30376
 
4.5%
20330
 
3.9%
50239
 
2.9%
40212
 
2.5%
10208
 
2.5%
25137
 
1.6%
60117
 
1.4%
15103
 
1.2%
7084
 
1.0%
3552
 
0.6%
Other values (6)126
 
1.5%
(Missing)6394
76.3%
ValueCountFrequency (%)
10208
2.5%
15103
 
1.2%
1614
 
0.2%
1837
 
0.4%
20330
3.9%
ValueCountFrequency (%)
8022
 
0.3%
7084
 
1.0%
6528
 
0.3%
60117
1.4%
50239
2.9%

sinc7_2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct16
Distinct (%)0.8%
Missing6423
Missing (%)76.7%
Infinite0
Infinite (%)0.0%
Mean13.52992327
Minimum0
Maximum40
Zeros173
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:59.414523image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median10
Q320
95-th percentile25
Maximum40
Range40
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.977482367
Coefficient of variation (CV)0.5896177093
Kurtosis0.9126091244
Mean13.52992327
Median Absolute Deviation (MAD)5
Skewness0.5614060263
Sum26451
Variance63.64022492
MonotonicityNot monotonic
2022-06-09T08:56:59.474990image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
10610
 
7.3%
20443
 
5.3%
5203
 
2.4%
15196
 
2.3%
0173
 
2.1%
25122
 
1.5%
4040
 
0.5%
1634
 
0.4%
1733
 
0.4%
1818
 
0.2%
Other values (6)83
 
1.0%
(Missing)6423
76.7%
ValueCountFrequency (%)
0173
 
2.1%
5203
 
2.4%
910
 
0.1%
10610
7.3%
1115
 
0.2%
ValueCountFrequency (%)
4040
 
0.5%
3018
 
0.2%
25122
 
1.5%
237
 
0.1%
20443
5.3%

intel7_2
Real number (ℝ≥0)

MISSING

Distinct16
Distinct (%)0.8%
Missing6394
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean15.29385081
Minimum0
Maximum50
Zeros81
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:59.538655image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median15
Q320
95-th percentile30
Maximum50
Range50
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.292867943
Coefficient of variation (CV)0.4768496852
Kurtosis1.548337201
Mean15.29385081
Median Absolute Deviation (MAD)5
Skewness0.5794887682
Sum30343
Variance53.18592283
MonotonicityNot monotonic
2022-06-09T08:56:59.600852image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
10646
 
7.7%
20576
 
6.9%
15282
 
3.4%
30108
 
1.3%
081
 
1.0%
581
 
1.0%
2574
 
0.9%
1634
 
0.4%
1419
 
0.2%
1918
 
0.2%
Other values (6)65
 
0.8%
(Missing)6394
76.3%
ValueCountFrequency (%)
081
 
1.0%
581
 
1.0%
810
 
0.1%
10646
7.7%
1215
 
0.2%
ValueCountFrequency (%)
506
 
0.1%
4013
 
0.2%
30108
1.3%
2574
0.9%
247
 
0.1%

fun7_2
Real number (ℝ≥0)

MISSING

Distinct16
Distinct (%)0.8%
Missing6394
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean18.86844758
Minimum0
Maximum50
Zeros34
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:59.659433image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q110
median20
Q324
95-th percentile35
Maximum50
Range50
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.535963042
Coefficient of variation (CV)0.4523935001
Kurtosis1.005929925
Mean18.86844758
Median Absolute Deviation (MAD)5
Skewness0.76543156
Sum37435
Variance72.86266506
MonotonicityNot monotonic
2022-06-09T08:56:59.721086image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20549
 
6.6%
10470
 
5.6%
15318
 
3.8%
30214
 
2.6%
25146
 
1.7%
4080
 
1.0%
1837
 
0.4%
034
 
0.4%
1629
 
0.3%
2425
 
0.3%
Other values (6)82
 
1.0%
(Missing)6394
76.3%
ValueCountFrequency (%)
034
 
0.4%
521
 
0.3%
10470
5.6%
15318
3.8%
1629
 
0.3%
ValueCountFrequency (%)
5015
 
0.2%
4080
 
1.0%
356
 
0.1%
30214
2.6%
2715
 
0.2%

amb7_2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct10
Distinct (%)0.5%
Missing6423
Missing (%)76.7%
Infinite0
Infinite (%)0.0%
Mean7.286956522
Minimum0
Maximum20
Zeros536
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:59.779147image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q310
95-th percentile20
Maximum20
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.125187416
Coefficient of variation (CV)0.8405686787
Kurtosis-0.7869165968
Mean7.286956522
Median Absolute Deviation (MAD)5
Skewness0.4474190501
Sum14246
Variance37.51792088
MonotonicityNot monotonic
2022-06-09T08:56:59.836000image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0536
 
6.4%
5527
 
6.3%
10442
 
5.3%
15169
 
2.0%
20134
 
1.6%
1456
 
0.7%
1237
 
0.4%
1630
 
0.4%
1714
 
0.2%
310
 
0.1%
(Missing)6423
76.7%
ValueCountFrequency (%)
0536
6.4%
310
 
0.1%
5527
6.3%
10442
5.3%
1237
 
0.4%
ValueCountFrequency (%)
20134
1.6%
1714
 
0.2%
1630
 
0.4%
15169
2.0%
1456
 
0.7%

shar7_2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct14
Distinct (%)0.7%
Missing6404
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean12.15602837
Minimum0
Maximum40
Zeros213
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:56:59.897722image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median10
Q320
95-th percentile30
Maximum40
Range40
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.241905927
Coefficient of variation (CV)0.6780097641
Kurtosis0.02108172781
Mean12.15602837
Median Absolute Deviation (MAD)5
Skewness0.5628414217
Sum23996
Variance67.92901331
MonotonicityNot monotonic
2022-06-09T08:56:59.954585image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
10437
 
5.2%
5430
 
5.1%
20314
 
3.7%
15280
 
3.3%
0213
 
2.5%
3088
 
1.1%
2587
 
1.0%
1838
 
0.5%
1318
 
0.2%
4015
 
0.2%
Other values (4)54
 
0.6%
(Missing)6404
76.4%
ValueCountFrequency (%)
0213
2.5%
210
 
0.1%
5430
5.1%
10437
5.2%
1115
 
0.2%
ValueCountFrequency (%)
4015
 
0.2%
3088
 
1.1%
2587
 
1.0%
20314
3.7%
1838
 
0.5%

attr1_2
Real number (ℝ≥0)

MISSING

Distinct77
Distinct (%)1.0%
Missing933
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean26.21719409
Minimum5
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:00.028410image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10
Q116.67
median20
Q330
95-th percentile60
Maximum85
Range80
Interquartile range (IQR)13.33

Descriptive statistics

Standard deviation14.38869395
Coefficient of variation (CV)0.5488266173
Kurtosis2.755038539
Mean26.21719409
Median Absolute Deviation (MAD)5
Skewness1.657316869
Sum195187.01
Variance207.0345135
MonotonicityNot monotonic
2022-06-09T08:57:00.107712image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201454
17.4%
301002
12.0%
25669
 
8.0%
15533
 
6.4%
40451
 
5.4%
10443
 
5.3%
50425
 
5.1%
35171
 
2.0%
60163
 
1.9%
16116
 
1.4%
Other values (67)2018
24.1%
(Missing)933
11.1%
ValueCountFrequency (%)
522
 
0.3%
914
 
0.2%
10443
5.3%
10.2610
 
0.1%
11.910
 
0.1%
ValueCountFrequency (%)
8529
 
0.3%
8020
 
0.2%
75103
1.2%
7076
0.9%
60163
1.9%

sinc1_2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct71
Distinct (%)1.0%
Missing915
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean15.86508375
Minimum0
Maximum50
Zeros205
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:00.193074image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median16.67
Q320
95-th percentile25
Maximum50
Range50
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.658493878
Coefficient of variation (CV)0.4196948459
Kurtosis1.519104012
Mean15.86508375
Median Absolute Deviation (MAD)3.33
Skewness0.03669817341
Sum118401.12
Variance44.33554073
MonotonicityNot monotonic
2022-06-09T08:57:00.276373image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201910
22.8%
101258
15.0%
151098
13.1%
5463
 
5.5%
25324
 
3.9%
30288
 
3.4%
0205
 
2.4%
18135
 
1.6%
16.67124
 
1.5%
18.7574
 
0.9%
Other values (61)1584
18.9%
(Missing)915
10.9%
ValueCountFrequency (%)
0205
2.4%
141
 
0.5%
238
 
0.5%
39
 
0.1%
3.5710
 
0.1%
ValueCountFrequency (%)
5019
 
0.2%
30288
3.4%
2921
 
0.3%
25.6410
 
0.1%
25324
3.9%

intel1_2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct67
Distinct (%)0.9%
Missing915
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean17.81375452
Minimum0
Maximum40
Zeros151
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:00.359567image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q115
median19.05
Q320
95-th percentile30
Maximum40
Range40
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.535894358
Coefficient of variation (CV)0.3669015619
Kurtosis1.880766169
Mean17.81375452
Median Absolute Deviation (MAD)2.38
Skewness0.09487564234
Sum132944.05
Variance42.71791506
MonotonicityNot monotonic
2022-06-09T08:57:00.437525image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202283
27.2%
151039
12.4%
10882
 
10.5%
25473
 
5.6%
30358
 
4.3%
5207
 
2.5%
18188
 
2.2%
0151
 
1.8%
19120
 
1.4%
40115
 
1.4%
Other values (57)1647
19.7%
(Missing)915
10.9%
ValueCountFrequency (%)
0151
1.8%
120
 
0.2%
229
 
0.3%
5207
2.5%
721
 
0.3%
ValueCountFrequency (%)
40115
 
1.4%
3514
 
0.2%
30358
4.3%
25473
5.6%
23.8116
 
0.2%

fun1_2
Real number (ℝ≥0)

MISSING

Distinct74
Distinct (%)1.0%
Missing915
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean17.65476484
Minimum0
Maximum50
Zeros22
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:00.519124image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q115
median18.37
Q320
95-th percentile30
Maximum50
Range50
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.129745631
Coefficient of variation (CV)0.3472006388
Kurtosis2.110624856
Mean17.65476484
Median Absolute Deviation (MAD)3.37
Skewness0.5209784376
Sum131757.51
Variance37.5737815
MonotonicityNot monotonic
2022-06-09T08:57:00.598048image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202193
26.2%
151136
13.6%
101057
12.6%
25486
 
5.8%
30339
 
4.0%
5226
 
2.7%
18150
 
1.8%
16.67104
 
1.2%
16103
 
1.2%
17.7886
 
1.0%
Other values (64)1583
18.9%
(Missing)915
10.9%
ValueCountFrequency (%)
022
 
0.3%
121
 
0.3%
310
 
0.1%
5226
2.7%
821
 
0.3%
ValueCountFrequency (%)
5010
 
0.1%
4067
 
0.8%
3518
 
0.2%
3310
 
0.1%
30339
4.0%

amb1_2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct73
Distinct (%)1.0%
Missing915
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean9.913435616
Minimum0
Maximum22.22
Zeros894
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:00.676540image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median10
Q315
95-th percentile20
Maximum22.22
Range22.22
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.675550226
Coefficient of variation (CV)0.5725109282
Kurtosis-0.7427396378
Mean9.913435616
Median Absolute Deviation (MAD)5
Skewness-0.1468238562
Sum73983.97
Variance32.21187037
MonotonicityNot monotonic
2022-06-09T08:57:00.749496image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102249
26.8%
51114
13.3%
0894
 
10.7%
15776
 
9.3%
20429
 
5.1%
16.67160
 
1.9%
16110
 
1.3%
14.2982
 
1.0%
11.1166
 
0.8%
12.560
 
0.7%
Other values (63)1523
18.2%
(Missing)915
10.9%
ValueCountFrequency (%)
0894
10.7%
130
 
0.4%
229
 
0.3%
2.520
 
0.2%
2.5610
 
0.1%
ValueCountFrequency (%)
22.2220
 
0.2%
20429
5.1%
18.8710
 
0.1%
18.7526
 
0.3%
18.616
 
0.2%

shar1_2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct82
Distinct (%)1.1%
Missing915
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean12.76026263
Minimum0
Maximum35
Zeros528
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:00.826455image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median13
Q316.67
95-th percentile25
Maximum35
Range35
Interquartile range (IQR)6.67

Descriptive statistics

Standard deviation6.651546674
Coefficient of variation (CV)0.5212703584
Kurtosis0.1738371239
Mean12.76026263
Median Absolute Deviation (MAD)3
Skewness0.1747432132
Sum95229.84
Variance44.24307316
MonotonicityNot monotonic
2022-06-09T08:57:00.905024image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101902
22.7%
151025
12.2%
20930
11.1%
5742
 
8.9%
0528
 
6.3%
25247
 
2.9%
30148
 
1.8%
14.58116
 
1.4%
16100
 
1.2%
14.2992
 
1.1%
Other values (72)1633
19.5%
(Missing)915
10.9%
ValueCountFrequency (%)
0528
6.3%
130
 
0.4%
29
 
0.1%
3.4510
 
0.1%
430
 
0.4%
ValueCountFrequency (%)
3522
 
0.3%
30148
1.8%
2915
 
0.2%
25247
2.9%
22.520
 
0.2%

attr4_2
Real number (ℝ≥0)

MISSING

Distinct27
Distinct (%)0.5%
Missing2603
Missing (%)31.1%
Infinite0
Infinite (%)0.0%
Mean26.80623377
Minimum6
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:00.980836image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile8
Q110
median25
Q340
95-th percentile60
Maximum100
Range94
Interquartile range (IQR)30

Descriptive statistics

Standard deviation16.40283593
Coefficient of variation (CV)0.6119037861
Kurtosis1.479236943
Mean26.80623377
Median Absolute Deviation (MAD)15
Skewness1.063037485
Sum154806
Variance269.0530266
MonotonicityNot monotonic
2022-06-09T08:57:01.044246image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
30834
 
10.0%
20730
 
8.7%
40710
 
8.5%
25660
 
7.9%
9527
 
6.3%
50439
 
5.2%
10387
 
4.6%
8338
 
4.0%
15212
 
2.5%
7184
 
2.2%
Other values (17)754
 
9.0%
(Missing)2603
31.1%
ValueCountFrequency (%)
636
 
0.4%
7184
 
2.2%
8338
4.0%
9527
6.3%
10387
4.6%
ValueCountFrequency (%)
10015
 
0.2%
8529
0.3%
8050
0.6%
756
 
0.1%
7051
0.6%

sinc4_2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct22
Distinct (%)0.4%
Missing2603
Missing (%)31.1%
Infinite0
Infinite (%)0.0%
Mean11.92917749
Minimum0
Maximum35
Zeros195
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:01.106726image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median10
Q315
95-th percentile20
Maximum35
Range35
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.40155573
Coefficient of variation (CV)0.5366301017
Kurtosis0.5900418476
Mean11.92917749
Median Absolute Deviation (MAD)5
Skewness0.7025620391
Sum68891
Variance40.97991576
MonotonicityNot monotonic
2022-06-09T08:57:01.169295image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
101585
18.9%
15920
 
11.0%
20844
 
10.1%
8434
 
5.2%
5389
 
4.6%
7352
 
4.2%
6222
 
2.6%
0195
 
2.3%
30144
 
1.7%
9132
 
1.6%
Other values (12)558
 
6.7%
(Missing)2603
31.1%
ValueCountFrequency (%)
0195
2.3%
120
 
0.2%
275
 
0.9%
345
 
0.5%
456
 
0.7%
ValueCountFrequency (%)
3521
 
0.3%
30144
 
1.7%
2588
 
1.1%
2214
 
0.2%
20844
10.1%

intel4_2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct25
Distinct (%)0.4%
Missing2603
Missing (%)31.1%
Infinite0
Infinite (%)0.0%
Mean12.1030303
Minimum0
Maximum40
Zeros98
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:01.239773image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median10
Q315
95-th percentile20
Maximum40
Range40
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.990607141
Coefficient of variation (CV)0.4949675404
Kurtosis1.190518726
Mean12.1030303
Median Absolute Deviation (MAD)5
Skewness0.7017847017
Sum69895
Variance35.88737391
MonotonicityNot monotonic
2022-06-09T08:57:01.307101image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
101515
18.1%
15995
 
11.9%
20989
 
11.8%
5440
 
5.3%
8387
 
4.6%
7343
 
4.1%
6251
 
3.0%
9128
 
1.5%
098
 
1.2%
1790
 
1.1%
Other values (15)539
 
6.4%
(Missing)2603
31.1%
ValueCountFrequency (%)
098
1.2%
138
 
0.5%
249
0.6%
314
 
0.2%
472
0.9%
ValueCountFrequency (%)
4021
 
0.3%
359
 
0.1%
3048
 
0.6%
2552
 
0.6%
20989
11.8%

fun4_2
Real number (ℝ≥0)

MISSING

Distinct22
Distinct (%)0.4%
Missing2603
Missing (%)31.1%
Infinite0
Infinite (%)0.0%
Mean15.16380952
Minimum0
Maximum50
Zeros34
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:01.374002image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q19
median15
Q320
95-th percentile30
Maximum50
Range50
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.29010694
Coefficient of variation (CV)0.4807569581
Kurtosis1.163133517
Mean15.16380952
Median Absolute Deviation (MAD)5
Skewness0.8435210469
Sum87571
Variance53.14565919
MonotonicityNot monotonic
2022-06-09T08:57:01.439028image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
201388
16.6%
101033
 
12.3%
15820
 
9.8%
8553
 
6.6%
25398
 
4.8%
7338
 
4.0%
9295
 
3.5%
30262
 
3.1%
5207
 
2.5%
1793
 
1.1%
Other values (12)388
 
4.6%
(Missing)2603
31.1%
ValueCountFrequency (%)
034
 
0.4%
5207
 
2.5%
650
 
0.6%
7338
4.0%
8553
6.6%
ValueCountFrequency (%)
5015
 
0.2%
4050
 
0.6%
3310
 
0.1%
30262
3.1%
25398
4.8%

amb4_2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct24
Distinct (%)0.4%
Missing2603
Missing (%)31.1%
Infinite0
Infinite (%)0.0%
Mean9.342510823
Minimum0
Maximum35
Zeros467
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:01.503477image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median10
Q310
95-th percentile20
Maximum35
Range35
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.856329098
Coefficient of variation (CV)0.6268474514
Kurtosis1.919037504
Mean9.342510823
Median Absolute Deviation (MAD)4
Skewness0.9840377901
Sum53953
Variance34.29659051
MonotonicityNot monotonic
2022-06-09T08:57:01.568526image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
101763
21.0%
5862
 
10.3%
15543
 
6.5%
0467
 
5.6%
20355
 
4.2%
7344
 
4.1%
6246
 
2.9%
9236
 
2.8%
8202
 
2.4%
3124
 
1.5%
Other values (14)633
 
7.6%
(Missing)2603
31.1%
ValueCountFrequency (%)
0467
5.6%
120
 
0.2%
277
 
0.9%
3124
 
1.5%
4120
 
1.4%
ValueCountFrequency (%)
3518
 
0.2%
3063
 
0.8%
2721
 
0.3%
2530
 
0.4%
20355
4.2%

shar4_2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct22
Distinct (%)0.4%
Missing2603
Missing (%)31.1%
Infinite0
Infinite (%)0.0%
Mean11.3208658
Minimum0
Maximum40
Zeros288
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:01.637604image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median10
Q315
95-th percentile20
Maximum40
Range40
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.29615532
Coefficient of variation (CV)0.5561549294
Kurtosis1.354050488
Mean11.3208658
Median Absolute Deviation (MAD)5
Skewness0.7439053805
Sum65378
Variance39.64157182
MonotonicityNot monotonic
2022-06-09T08:57:01.704006image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
101462
17.5%
20839
 
10.0%
15822
 
9.8%
5515
 
6.1%
7499
 
6.0%
8293
 
3.5%
0288
 
3.4%
6238
 
2.8%
9230
 
2.7%
1789
 
1.1%
Other values (12)500
 
6.0%
(Missing)2603
31.1%
ValueCountFrequency (%)
0288
3.4%
148
 
0.6%
243
 
0.5%
440
 
0.5%
5515
6.1%
ValueCountFrequency (%)
4022
 
0.3%
3515
 
0.2%
3046
0.5%
2557
0.7%
2115
 
0.2%

attr2_2
Real number (ℝ≥0)

MISSING

Distinct81
Distinct (%)1.4%
Missing2603
Missing (%)31.1%
Infinite0
Infinite (%)0.0%
Mean29.34436883
Minimum0
Maximum85
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:01.784811image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.55
Q119.15
median25
Q338.46
95-th percentile60
Maximum85
Range85
Interquartile range (IQR)19.31

Descriptive statistics

Standard deviation14.55117121
Coefficient of variation (CV)0.4958761011
Kurtosis1.1964697
Mean29.34436883
Median Absolute Deviation (MAD)6.58
Skewness1.262693717
Sum169463.73
Variance211.7365835
MonotonicityNot monotonic
2022-06-09T08:57:01.859516image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30797
 
9.5%
20642
 
7.7%
25601
 
7.2%
40518
 
6.2%
50440
 
5.3%
15283
 
3.4%
60191
 
2.3%
35157
 
1.9%
70116
 
1.4%
16.67103
 
1.2%
Other values (71)1927
23.0%
(Missing)2603
31.1%
ValueCountFrequency (%)
010
 
0.1%
1094
1.1%
11.5420
 
0.2%
12.7736
 
0.4%
1320
 
0.2%
ValueCountFrequency (%)
859
 
0.1%
8017
 
0.2%
7547
0.6%
70116
1.4%
6518
 
0.2%

sinc2_2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct67
Distinct (%)1.2%
Missing2603
Missing (%)31.1%
Infinite0
Infinite (%)0.0%
Mean13.8982303
Minimum0
Maximum40
Zeros200
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:01.937529image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median15
Q319.23
95-th percentile20
Maximum40
Range40
Interquartile range (IQR)9.23

Descriptive statistics

Standard deviation6.171690078
Coefficient of variation (CV)0.4440630169
Kurtosis0.4811173996
Mean13.8982303
Median Absolute Deviation (MAD)5
Skewness-0.09542693227
Sum80262.28
Variance38.08975842
MonotonicityNot monotonic
2022-06-09T08:57:02.016912image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101272
15.2%
201129
13.5%
15693
 
8.3%
5480
 
5.7%
0200
 
2.4%
18.18143
 
1.7%
16.67123
 
1.5%
294
 
1.1%
3083
 
1.0%
2578
 
0.9%
Other values (57)1480
17.7%
(Missing)2603
31.1%
ValueCountFrequency (%)
0200
2.4%
118
 
0.2%
294
 
1.1%
39
 
0.1%
5480
5.7%
ValueCountFrequency (%)
4015
 
0.2%
3083
1.0%
2578
0.9%
20.5120
 
0.2%
20.4120
 
0.2%

intel2_2
Real number (ℝ≥0)

MISSING

Distinct69
Distinct (%)1.2%
Missing2603
Missing (%)31.1%
Infinite0
Infinite (%)0.0%
Mean13.95826494
Minimum0
Maximum30.77
Zeros80
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:02.459994image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median15
Q317.39
95-th percentile20
Maximum30.77
Range30.77
Interquartile range (IQR)7.39

Descriptive statistics

Standard deviation5.398621195
Coefficient of variation (CV)0.3867687868
Kurtosis0.3710018579
Mean13.95826494
Median Absolute Deviation (MAD)5
Skewness0.06059611497
Sum80608.98
Variance29.14511081
MonotonicityNot monotonic
2022-06-09T08:57:02.538245image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101534
18.3%
15822
 
9.8%
20815
 
9.7%
5408
 
4.9%
16.67119
 
1.4%
16108
 
1.3%
2590
 
1.1%
080
 
1.0%
3073
 
0.9%
13.9572
 
0.9%
Other values (59)1654
19.7%
(Missing)2603
31.1%
ValueCountFrequency (%)
080
 
1.0%
227
 
0.3%
314
 
0.2%
420
 
0.2%
5408
4.9%
ValueCountFrequency (%)
30.7720
 
0.2%
3073
0.9%
2590
1.1%
2221
 
0.3%
21.0530
 
0.4%

fun2_2
Real number (ℝ≥0)

MISSING

Distinct61
Distinct (%)1.1%
Missing2603
Missing (%)31.1%
Infinite0
Infinite (%)0.0%
Mean17.9672329
Minimum0
Maximum40
Zeros73
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:02.628253image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q115
median18.52
Q320
95-th percentile30
Maximum40
Range40
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.100306959
Coefficient of variation (CV)0.3395240098
Kurtosis1.798764938
Mean17.9672329
Median Absolute Deviation (MAD)2.61
Skewness0.1622506745
Sum103760.77
Variance37.21374499
MonotonicityNot monotonic
2022-06-09T08:57:02.713058image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201445
17.2%
15779
 
9.3%
10707
 
8.4%
25524
 
6.3%
30241
 
2.9%
16.67159
 
1.9%
18.18153
 
1.8%
5122
 
1.5%
18116
 
1.4%
073
 
0.9%
Other values (51)1456
17.4%
(Missing)2603
31.1%
ValueCountFrequency (%)
073
 
0.9%
220
 
0.2%
5122
 
1.5%
7.6920
 
0.2%
10707
8.4%
ValueCountFrequency (%)
4064
 
0.8%
33.3321
 
0.3%
30241
2.9%
26.3220
 
0.2%
25524
6.3%

amb2_2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct76
Distinct (%)1.3%
Missing2603
Missing (%)31.1%
Infinite0
Infinite (%)0.0%
Mean11.90973506
Minimum0
Maximum50
Zeros298
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:02.796243image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median10
Q315.09
95-th percentile20
Maximum50
Range50
Interquartile range (IQR)5.09

Descriptive statistics

Standard deviation6.313281231
Coefficient of variation (CV)0.5300941789
Kurtosis5.093355286
Mean11.90973506
Median Absolute Deviation (MAD)5
Skewness1.002189809
Sum68778.72
Variance39.8575199
MonotonicityNot monotonic
2022-06-09T08:57:02.878927image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101593
19.0%
5777
 
9.3%
15697
 
8.3%
20391
 
4.7%
0298
 
3.6%
16.67144
 
1.7%
15.9186
 
1.0%
382
 
1.0%
13.9562
 
0.7%
14.8956
 
0.7%
Other values (66)1589
19.0%
(Missing)2603
31.1%
ValueCountFrequency (%)
0298
3.6%
118
 
0.2%
214
 
0.2%
382
 
1.0%
4.3520
 
0.2%
ValueCountFrequency (%)
5021
0.3%
4020
0.2%
3042
0.5%
2535
0.4%
22.2220
0.2%

shar2_2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct64
Distinct (%)1.1%
Missing2603
Missing (%)31.1%
Infinite0
Infinite (%)0.0%
Mean12.88797576
Minimum0
Maximum30
Zeros303
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:02.961359image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median13.95
Q316.515
95-th percentile20
Maximum30
Range30
Interquartile range (IQR)6.515

Descriptive statistics

Standard deviation5.615691097
Coefficient of variation (CV)0.4357310413
Kurtosis0.02740593724
Mean12.88797576
Median Absolute Deviation (MAD)3.95
Skewness-0.3643794666
Sum74428.06
Variance31.5359865
MonotonicityNot monotonic
2022-06-09T08:57:03.038175image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101517
18.1%
15815
 
9.7%
20746
 
8.9%
5456
 
5.4%
0303
 
3.6%
16.67163
 
1.9%
16100
 
1.2%
2596
 
1.1%
13.9588
 
1.1%
15.3884
 
1.0%
Other values (54)1407
16.8%
(Missing)2603
31.1%
ValueCountFrequency (%)
0303
3.6%
118
 
0.2%
223
 
0.3%
320
 
0.2%
420
 
0.2%
ValueCountFrequency (%)
3018
 
0.2%
2596
 
1.1%
2321
 
0.3%
20746
8.9%
19.1530
 
0.4%

attr3_2
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.1%
Missing915
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean7.125284738
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:03.106622image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q17
median7
Q38
95-th percentile9
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.371389843
Coefficient of variation (CV)0.1924680757
Kurtosis1.080669392
Mean7.125284738
Median Absolute Deviation (MAD)1
Skewness-0.6033221579
Sum53176
Variance1.880710101
MonotonicityNot monotonic
2022-06-09T08:57:03.162316image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
72608
31.1%
82137
25.5%
61040
 
12.4%
9573
 
6.8%
5488
 
5.8%
10280
 
3.3%
4201
 
2.4%
3111
 
1.3%
225
 
0.3%
(Missing)915
 
10.9%
ValueCountFrequency (%)
225
 
0.3%
3111
 
1.3%
4201
 
2.4%
5488
5.8%
61040
12.4%
ValueCountFrequency (%)
10280
 
3.3%
9573
 
6.8%
82137
25.5%
72608
31.1%
61040
 
12.4%

sinc3_2
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.1%
Missing915
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean7.931528876
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:03.221388image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q17
median8
Q39
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.503235644
Coefficient of variation (CV)0.1895265929
Kurtosis1.772237633
Mean7.931528876
Median Absolute Deviation (MAD)1
Skewness-1.038599367
Sum59193
Variance2.259717402
MonotonicityNot monotonic
2022-06-09T08:57:03.276320image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
82078
24.8%
91874
22.4%
71615
19.3%
10982
11.7%
6423
 
5.0%
5252
 
3.0%
4119
 
1.4%
364
 
0.8%
256
 
0.7%
(Missing)915
10.9%
ValueCountFrequency (%)
256
 
0.7%
364
 
0.8%
4119
 
1.4%
5252
3.0%
6423
5.0%
ValueCountFrequency (%)
10982
11.7%
91874
22.4%
82078
24.8%
71615
19.3%
6423
 
5.0%

intel3_2
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)0.1%
Missing915
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean8.238911966
Minimum4
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:03.335236image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q18
median8
Q39
95-th percentile10
Maximum10
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.180279982
Coefficient of variation (CV)0.143256778
Kurtosis0.3618059187
Mean8.238911966
Median Absolute Deviation (MAD)1
Skewness-0.5691668225
Sum61487
Variance1.393060837
MonotonicityNot monotonic
2022-06-09T08:57:03.386962image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
82430
29.0%
92216
26.5%
71245
14.9%
101039
12.4%
6369
 
4.4%
5128
 
1.5%
436
 
0.4%
(Missing)915
 
10.9%
ValueCountFrequency (%)
436
 
0.4%
5128
 
1.5%
6369
 
4.4%
71245
14.9%
82430
29.0%
ValueCountFrequency (%)
101039
12.4%
92216
26.5%
82430
29.0%
71245
14.9%
6369
 
4.4%

fun3_2
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)0.1%
Missing915
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean7.602170709
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:03.445508image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q17
median8
Q39
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.548200157
Coefficient of variation (CV)0.2036523798
Kurtosis1.633874022
Mean7.602170709
Median Absolute Deviation (MAD)1
Skewness-0.9362476798
Sum56735
Variance2.396923725
MonotonicityNot monotonic
2022-06-09T08:57:03.500463image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
82098
25.0%
71924
23.0%
91470
17.5%
6675
 
8.1%
10655
 
7.8%
5342
 
4.1%
4135
 
1.6%
393
 
1.1%
253
 
0.6%
118
 
0.2%
(Missing)915
10.9%
ValueCountFrequency (%)
118
 
0.2%
253
 
0.6%
393
 
1.1%
4135
 
1.6%
5342
4.1%
ValueCountFrequency (%)
10655
 
7.8%
91470
17.5%
82098
25.0%
71924
23.0%
6675
 
8.1%

amb3_2
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.1%
Missing915
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean7.486801554
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:03.559203image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median8
Q39
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.74463415
Coefficient of variation (CV)0.2330279676
Kurtosis0.7382667151
Mean7.486801554
Median Absolute Deviation (MAD)1
Skewness-0.8535125817
Sum55874
Variance3.043748319
MonotonicityNot monotonic
2022-06-09T08:57:03.617488image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
81847
22.0%
71590
19.0%
91497
17.9%
6890
10.6%
10766
9.1%
5396
 
4.7%
4201
 
2.4%
3159
 
1.9%
2117
 
1.4%
(Missing)915
10.9%
ValueCountFrequency (%)
2117
 
1.4%
3159
 
1.9%
4201
 
2.4%
5396
4.7%
6890
10.6%
ValueCountFrequency (%)
10766
9.1%
91497
17.9%
81847
22.0%
71590
19.0%
6890
10.6%

attr5_2
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.2%
Missing4001
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean6.827964359
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:03.679510image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median7
Q38
95-th percentile9
Maximum10
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.411096106
Coefficient of variation (CV)0.2066642461
Kurtosis1.515721805
Mean6.827964359
Median Absolute Deviation (MAD)1
Skewness-0.8408231452
Sum29886
Variance1.991192222
MonotonicityNot monotonic
2022-06-09T08:57:03.738223image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
71598
 
19.1%
81040
 
12.4%
6827
 
9.9%
5331
 
4.0%
9237
 
2.8%
4107
 
1.3%
3104
 
1.2%
1078
 
0.9%
255
 
0.7%
(Missing)4001
47.8%
ValueCountFrequency (%)
255
 
0.7%
3104
 
1.2%
4107
 
1.3%
5331
4.0%
6827
9.9%
ValueCountFrequency (%)
1078
 
0.9%
9237
 
2.8%
81040
12.4%
71598
19.1%
6827
9.9%

sinc5_2
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.2%
Missing4001
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean7.394105552
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:03.800003image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q16
median8
Q38
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.588145061
Coefficient of variation (CV)0.2147852841
Kurtosis0.8852414748
Mean7.394105552
Median Absolute Deviation (MAD)1
Skewness-0.7260220925
Sum32364
Variance2.522204736
MonotonicityNot monotonic
2022-06-09T08:57:03.857114image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
81346
 
16.1%
7912
 
10.9%
6730
 
8.7%
9627
 
7.5%
10352
 
4.2%
5199
 
2.4%
390
 
1.1%
481
 
1.0%
240
 
0.5%
(Missing)4001
47.8%
ValueCountFrequency (%)
240
 
0.5%
390
 
1.1%
481
 
1.0%
5199
 
2.4%
6730
8.7%
ValueCountFrequency (%)
10352
 
4.2%
9627
7.5%
81346
16.1%
7912
10.9%
6730
8.7%

intel5_2
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)0.2%
Missing4001
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean7.838702308
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:03.918068image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q17
median8
Q39
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.280935643
Coefficient of variation (CV)0.1634116966
Kurtosis1.263841963
Mean7.838702308
Median Absolute Deviation (MAD)1
Skewness-0.64909951
Sum34310
Variance1.640796122
MonotonicityNot monotonic
2022-06-09T08:57:03.975013image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
81440
 
17.2%
71005
 
12.0%
9988
 
11.8%
6419
 
5.0%
10362
 
4.3%
5113
 
1.3%
432
 
0.4%
218
 
0.2%
(Missing)4001
47.8%
ValueCountFrequency (%)
218
 
0.2%
432
 
0.4%
5113
 
1.3%
6419
5.0%
71005
12.0%
ValueCountFrequency (%)
10362
 
4.3%
9988
11.8%
81440
17.2%
71005
12.0%
6419
 
5.0%

fun5_2
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.2%
Missing4001
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean7.279415125
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:04.036410image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median7
Q38
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.647478497
Coefficient of variation (CV)0.2263201739
Kurtosis0.7660132217
Mean7.279415125
Median Absolute Deviation (MAD)1
Skewness-0.6084558838
Sum31862
Variance2.714185398
MonotonicityNot monotonic
2022-06-09T08:57:04.093081image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
81109
 
13.2%
71096
 
13.1%
6730
 
8.7%
9542
 
6.5%
10396
 
4.7%
5274
 
3.3%
4116
 
1.4%
276
 
0.9%
338
 
0.5%
(Missing)4001
47.8%
ValueCountFrequency (%)
276
 
0.9%
338
 
0.5%
4116
 
1.4%
5274
 
3.3%
6730
8.7%
ValueCountFrequency (%)
10396
 
4.7%
9542
6.5%
81109
13.2%
71096
13.1%
6730
8.7%

amb5_2
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)0.2%
Missing4001
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean7.332190998
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:04.152307image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q16
median7
Q38
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.521854376
Coefficient of variation (CV)0.2075579287
Kurtosis0.209191536
Mean7.332190998
Median Absolute Deviation (MAD)1
Skewness-0.3688613061
Sum32093
Variance2.316040742
MonotonicityNot monotonic
2022-06-09T08:57:04.207698image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
71147
 
13.7%
81027
 
12.3%
6708
 
8.5%
9676
 
8.1%
5344
 
4.1%
10327
 
3.9%
4115
 
1.4%
233
 
0.4%
(Missing)4001
47.8%
ValueCountFrequency (%)
233
 
0.4%
4115
 
1.4%
5344
 
4.1%
6708
8.5%
71147
13.7%
ValueCountFrequency (%)
10327
 
3.9%
9676
8.1%
81027
12.3%
71147
13.7%
6708
8.5%

you_call
Real number (ℝ≥0)

MISSING
ZEROS

Distinct9
Distinct (%)0.2%
Missing4404
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean0.7808253649
Minimum0
Maximum21
Zeros2430
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:04.266313image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum21
Range21
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.611694215
Coefficient of variation (CV)2.064090496
Kurtosis63.2344721
Mean0.7808253649
Median Absolute Deviation (MAD)0
Skewness6.092858002
Sum3103
Variance2.597558241
MonotonicityNot monotonic
2022-06-09T08:57:04.316103image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
02430
29.0%
1841
 
10.0%
2402
 
4.8%
4104
 
1.2%
395
 
1.1%
541
 
0.5%
633
 
0.4%
818
 
0.2%
2110
 
0.1%
(Missing)4404
52.6%
ValueCountFrequency (%)
02430
29.0%
1841
 
10.0%
2402
 
4.8%
395
 
1.1%
4104
 
1.2%
ValueCountFrequency (%)
2110
 
0.1%
818
 
0.2%
633
 
0.4%
541
 
0.5%
4104
1.2%

them_cal
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)0.2%
Missing4404
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean0.9816305989
Minimum0
Maximum9
Zeros1975
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:04.366908image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.382139409
Coefficient of variation (CV)1.408003592
Kurtosis6.181191223
Mean0.9816305989
Median Absolute Deviation (MAD)1
Skewness2.095940102
Sum3901
Variance1.910309347
MonotonicityNot monotonic
2022-06-09T08:57:04.414760image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
01975
23.6%
11059
 
12.6%
2458
 
5.5%
4208
 
2.5%
3189
 
2.3%
546
 
0.5%
921
 
0.3%
618
 
0.2%
(Missing)4404
52.6%
ValueCountFrequency (%)
01975
23.6%
11059
12.6%
2458
 
5.5%
3189
 
2.3%
4208
 
2.5%
ValueCountFrequency (%)
921
 
0.3%
618
 
0.2%
546
 
0.5%
4208
2.5%
3189
2.3%

date_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.1%
Missing4404
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean0.3769501761
Minimum0
Maximum1
Zeros2476
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:04.463636image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4846832518
Coefficient of variation (CV)1.285801898
Kurtosis-1.74280398
Mean0.3769501761
Median Absolute Deviation (MAD)0
Skewness0.5080092288
Sum1498
Variance0.2349178546
MonotonicityNot monotonic
2022-06-09T08:57:04.515791image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02476
29.6%
11498
 
17.9%
(Missing)4404
52.6%
ValueCountFrequency (%)
02476
29.6%
11498
17.9%
ValueCountFrequency (%)
11498
17.9%
02476
29.6%

numdat_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)0.4%
Missing6882
Missing (%)82.1%
Infinite0
Infinite (%)0.0%
Mean1.230614973
Minimum0
Maximum9
Zeros293
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:04.573755image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile4
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.294557125
Coefficient of variation (CV)1.051959511
Kurtosis16.47084629
Mean1.230614973
Median Absolute Deviation (MAD)0
Skewness3.392698597
Sum1841
Variance1.67587815
MonotonicityNot monotonic
2022-06-09T08:57:04.624610image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1888
 
10.6%
0293
 
3.5%
2181
 
2.2%
463
 
0.8%
350
 
0.6%
921
 
0.3%
(Missing)6882
82.1%
ValueCountFrequency (%)
0293
 
3.5%
1888
10.6%
2181
 
2.2%
350
 
0.6%
463
 
0.8%
ValueCountFrequency (%)
921
 
0.3%
463
 
0.8%
350
 
0.6%
2181
 
2.2%
1888
10.6%

num_in_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4
Distinct (%)0.6%
Missing7710
Missing (%)92.0%
Infinite0
Infinite (%)0.0%
Mean0.9341317365
Minimum0
Maximum4
Zeros159
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:04.677416image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7539021889
Coefficient of variation (CV)0.8070619586
Kurtosis5.369592962
Mean0.9341317365
Median Absolute Deviation (MAD)0
Skewness1.62520892
Sum624
Variance0.5683685104
MonotonicityNot monotonic
2022-06-09T08:57:04.728815image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1430
 
5.1%
0159
 
1.9%
261
 
0.7%
418
 
0.2%
(Missing)7710
92.0%
ValueCountFrequency (%)
0159
 
1.9%
1430
5.1%
261
 
0.7%
418
 
0.2%
ValueCountFrequency (%)
418
 
0.2%
261
 
0.7%
1430
5.1%
0159
 
1.9%

attr1_3
Real number (ℝ≥0)

MISSING

Distinct56
Distinct (%)1.4%
Missing4404
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean24.38452441
Minimum0
Maximum80
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:04.807693image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q115.22
median20
Q330
95-th percentile50
Maximum80
Range80
Interquartile range (IQR)14.78

Descriptive statistics

Standard deviation13.71211997
Coefficient of variation (CV)0.5623287843
Kurtosis2.137706664
Mean24.38452441
Median Absolute Deviation (MAD)5
Skewness1.513835575
Sum96904.1
Variance188.0222339
MonotonicityNot monotonic
2022-06-09T08:57:04.885136image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20696
 
8.3%
15434
 
5.2%
30380
 
4.5%
50290
 
3.5%
25286
 
3.4%
10262
 
3.1%
40240
 
2.9%
16.67136
 
1.6%
15.2282
 
1.0%
1881
 
1.0%
Other values (46)1087
 
13.0%
(Missing)4404
52.6%
ValueCountFrequency (%)
010
 
0.1%
556
 
0.7%
914
 
0.2%
9.525
 
0.1%
10262
3.1%
ValueCountFrequency (%)
8018
 
0.2%
759
 
0.1%
7047
 
0.6%
6067
 
0.8%
50290
3.5%

sinc1_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct47
Distinct (%)1.2%
Missing4404
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean16.58858329
Minimum0
Maximum65
Zeros145
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:04.965181image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median16.67
Q320
95-th percentile30
Maximum65
Range65
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.471537005
Coefficient of variation (CV)0.4504023565
Kurtosis5.672924676
Mean16.58858329
Median Absolute Deviation (MAD)3.33
Skewness0.9342925414
Sum65923.03
Variance55.82386522
MonotonicityNot monotonic
2022-06-09T08:57:05.035706image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
20859
 
10.3%
10663
 
7.9%
15598
 
7.1%
25205
 
2.4%
30203
 
2.4%
5188
 
2.2%
0145
 
1.7%
16.67102
 
1.2%
1887
 
1.0%
1656
 
0.7%
Other values (37)868
 
10.4%
(Missing)4404
52.6%
ValueCountFrequency (%)
0145
 
1.7%
218
 
0.2%
5188
 
2.2%
10663
7.9%
1410
 
0.1%
ValueCountFrequency (%)
659
 
0.1%
5025
 
0.3%
3521
 
0.3%
30203
2.4%
25205
2.4%

intel1_3
Real number (ℝ≥0)

MISSING

Distinct44
Distinct (%)1.1%
Missing4404
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean19.41134625
Minimum0
Maximum45
Zeros21
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:05.109766image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q116.67
median20
Q320
95-th percentile30
Maximum45
Range45
Interquartile range (IQR)3.33

Descriptive statistics

Standard deviation6.124502326
Coefficient of variation (CV)0.3155114667
Kurtosis2.610622067
Mean19.41134625
Median Absolute Deviation (MAD)2.61
Skewness0.7520208629
Sum77140.69
Variance37.50952874
MonotonicityNot monotonic
2022-06-09T08:57:05.179222image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
201254
 
15.0%
10438
 
5.2%
15407
 
4.9%
25390
 
4.7%
30270
 
3.2%
16.67162
 
1.9%
18146
 
1.7%
17.3968
 
0.8%
4063
 
0.8%
19.6156
 
0.7%
Other values (34)720
 
8.6%
(Missing)4404
52.6%
ValueCountFrequency (%)
021
 
0.3%
519
 
0.2%
10438
5.2%
1321
 
0.3%
15407
4.9%
ValueCountFrequency (%)
4518
 
0.2%
4063
 
0.8%
3518
 
0.2%
30270
3.2%
25390
4.7%

fun1_3
Real number (ℝ≥0)

MISSING

Distinct53
Distinct (%)1.3%
Missing4404
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean16.2334147
Minimum0
Maximum30
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:05.253678image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q114.81
median16.33
Q320
95-th percentile25
Maximum30
Range30
Interquartile range (IQR)5.19

Descriptive statistics

Standard deviation5.163776633
Coefficient of variation (CV)0.3180955289
Kurtosis0.6492286572
Mean16.2334147
Median Absolute Deviation (MAD)3.67
Skewness0.02248669313
Sum64511.59
Variance26.66458912
MonotonicityNot monotonic
2022-06-09T08:57:05.327508image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20973
 
11.6%
15748
 
8.9%
10698
 
8.3%
5145
 
1.7%
30133
 
1.6%
25103
 
1.2%
16.67102
 
1.2%
1884
 
1.0%
1762
 
0.7%
17.6556
 
0.7%
Other values (43)870
 
10.4%
(Missing)4404
52.6%
ValueCountFrequency (%)
012
 
0.1%
310
 
0.1%
5145
 
1.7%
7.520
 
0.2%
10698
8.3%
ValueCountFrequency (%)
30133
1.6%
25103
1.2%
2218
 
0.2%
20.9315
 
0.2%
20.8320
 
0.2%

amb1_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct56
Distinct (%)1.4%
Missing4404
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean10.89807499
Minimum0
Maximum30
Zeros428
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:05.403635image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median10
Q315
95-th percentile20
Maximum30
Range30
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.900697326
Coefficient of variation (CV)0.5414440012
Kurtosis-0.6643783344
Mean10.89807499
Median Absolute Deviation (MAD)5
Skewness-0.282917236
Sum43308.95
Variance34.81822894
MonotonicityNot monotonic
2022-06-09T08:57:05.475688image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10967
 
11.5%
15605
 
7.2%
5590
 
7.0%
0428
 
5.1%
20218
 
2.6%
16.6786
 
1.0%
1769
 
0.8%
17.3966
 
0.8%
18.3750
 
0.6%
15.6940
 
0.5%
Other values (46)855
 
10.2%
(Missing)4404
52.6%
ValueCountFrequency (%)
0428
5.1%
29
 
0.1%
324
 
0.3%
421
 
0.3%
5590
7.0%
ValueCountFrequency (%)
308
 
0.1%
22.520
 
0.2%
20218
2.6%
19.5720
 
0.2%
19.2310
 
0.1%

shar1_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct53
Distinct (%)1.3%
Missing4404
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean12.69914192
Minimum0
Maximum55
Zeros261
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:05.550097image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median14.29
Q316.67
95-th percentile20
Maximum55
Range55
Interquartile range (IQR)6.67

Descriptive statistics

Standard deviation6.557040676
Coefficient of variation (CV)0.5163373018
Kurtosis5.052471653
Mean12.69914192
Median Absolute Deviation (MAD)4.29
Skewness0.6859493255
Sum50466.39
Variance42.99478242
MonotonicityNot monotonic
2022-06-09T08:57:05.618584image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10799
 
9.5%
20584
 
7.0%
15566
 
6.8%
5508
 
6.1%
0261
 
3.1%
16.67148
 
1.8%
2569
 
0.8%
1862
 
0.7%
17.3958
 
0.7%
14.2957
 
0.7%
Other values (43)862
 
10.3%
(Missing)4404
52.6%
ValueCountFrequency (%)
0261
3.1%
428
 
0.3%
4.6510
 
0.1%
5508
6.1%
6.1220
 
0.2%
ValueCountFrequency (%)
5514
 
0.2%
3019
 
0.2%
2569
 
0.8%
2318
 
0.2%
20584
7.0%

attr7_3
Real number (ℝ≥0)

MISSING

Distinct21
Distinct (%)1.0%
Missing6362
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean31.33035714
Minimum0
Maximum80
Zeros24
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:05.683236image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q120
median25
Q340
95-th percentile70
Maximum80
Range80
Interquartile range (IQR)20

Descriptive statistics

Standard deviation17.5515403
Coefficient of variation (CV)0.5602087527
Kurtosis-0.1471986768
Mean31.33035714
Median Absolute Deviation (MAD)10
Skewness0.8242904804
Sum63162
Variance308.0565668
MonotonicityNot monotonic
2022-06-09T08:57:05.743298image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20400
 
4.8%
30274
 
3.3%
40189
 
2.3%
25188
 
2.2%
50179
 
2.1%
15163
 
1.9%
10139
 
1.7%
60119
 
1.4%
70114
 
1.4%
3550
 
0.6%
Other values (11)201
 
2.4%
(Missing)6362
75.9%
ValueCountFrequency (%)
024
 
0.3%
514
 
0.2%
914
 
0.2%
10139
1.7%
15163
1.9%
ValueCountFrequency (%)
806
 
0.1%
7519
 
0.2%
70114
1.4%
60119
1.4%
50179
2.1%

sinc7_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct13
Distinct (%)0.6%
Missing6362
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean15.65426587
Minimum0
Maximum60
Zeros183
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:05.803392image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median15
Q320
95-th percentile30
Maximum60
Range60
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.336287521
Coefficient of variation (CV)0.5964053247
Kurtosis1.679805474
Mean15.65426587
Median Absolute Deviation (MAD)5
Skewness0.6484637086
Sum31559
Variance87.16626467
MonotonicityNot monotonic
2022-06-09T08:57:05.853571image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
20495
 
5.9%
10394
 
4.7%
15353
 
4.2%
30184
 
2.2%
0183
 
2.2%
5163
 
1.9%
2599
 
1.2%
4041
 
0.5%
1835
 
0.4%
821
 
0.3%
Other values (3)48
 
0.6%
(Missing)6362
75.9%
ValueCountFrequency (%)
0183
2.2%
5163
1.9%
821
 
0.3%
10394
4.7%
1421
 
0.3%
ValueCountFrequency (%)
609
 
0.1%
4041
 
0.5%
30184
 
2.2%
2599
 
1.2%
20495
5.9%

intel7_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct14
Distinct (%)0.7%
Missing6362
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean16.67956349
Minimum0
Maximum45
Zeros85
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:05.914151image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median18
Q320
95-th percentile30
Maximum45
Range45
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.880087604
Coefficient of variation (CV)0.4724396779
Kurtosis0.5350043046
Mean16.67956349
Median Absolute Deviation (MAD)7
Skewness0.2702149359
Sum33626
Variance62.09578065
MonotonicityNot monotonic
2022-06-09T08:57:05.968155image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20573
 
6.8%
10474
 
5.7%
15326
 
3.9%
30177
 
2.1%
25136
 
1.6%
5100
 
1.2%
085
 
1.0%
1835
 
0.4%
1932
 
0.4%
1321
 
0.3%
Other values (4)57
 
0.7%
(Missing)6362
75.9%
ValueCountFrequency (%)
085
 
1.0%
5100
 
1.2%
10474
5.7%
1321
 
0.3%
15326
3.9%
ValueCountFrequency (%)
4515
 
0.2%
406
 
0.1%
30177
2.1%
2818
 
0.2%
25136
1.6%

fun7_3
Real number (ℝ≥0)

MISSING

Distinct16
Distinct (%)0.8%
Missing6362
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean16.41815476
Minimum0
Maximum40
Zeros37
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:06.027530image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median17
Q320
95-th percentile30
Maximum40
Range40
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.231324729
Coefficient of variation (CV)0.440446861
Kurtosis0.6020968905
Mean16.41815476
Median Absolute Deviation (MAD)3
Skewness0.3976450588
Sum33099
Variance52.29205734
MonotonicityNot monotonic
2022-06-09T08:57:06.089604image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20642
 
7.7%
10502
 
6.0%
15308
 
3.7%
5111
 
1.3%
25108
 
1.3%
3094
 
1.1%
1842
 
0.5%
037
 
0.4%
2236
 
0.4%
1735
 
0.4%
Other values (6)101
 
1.2%
(Missing)6362
75.9%
ValueCountFrequency (%)
037
 
0.4%
310
 
0.1%
5111
 
1.3%
714
 
0.2%
10502
6.0%
ValueCountFrequency (%)
4022
 
0.3%
3527
 
0.3%
3094
1.1%
25108
1.3%
2236
 
0.4%

amb7_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct13
Distinct (%)0.6%
Missing6362
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean7.82390873
Minimum0
Maximum30
Zeros509
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:06.154142image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q310
95-th percentile20
Maximum30
Range30
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.100501855
Coefficient of variation (CV)0.7797255905
Kurtosis-0.4176175111
Mean7.82390873
Median Absolute Deviation (MAD)5
Skewness0.3337263057
Sum15773
Variance37.21612288
MonotonicityNot monotonic
2022-06-09T08:57:06.210622image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
10590
 
7.0%
0509
 
6.1%
5385
 
4.6%
15309
 
3.7%
2093
 
1.1%
324
 
0.3%
1721
 
0.3%
1421
 
0.3%
918
 
0.2%
714
 
0.2%
Other values (3)32
 
0.4%
(Missing)6362
75.9%
ValueCountFrequency (%)
0509
6.1%
29
 
0.1%
324
 
0.3%
5385
4.6%
714
 
0.2%
ValueCountFrequency (%)
309
 
0.1%
2093
 
1.1%
1721
 
0.3%
15309
3.7%
1421
 
0.3%

shar7_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct15
Distinct (%)0.7%
Missing6362
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean12.2078373
Minimum0
Maximum55
Zeros316
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:06.270079image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median10
Q320
95-th percentile25
Maximum55
Range55
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.615984803
Coefficient of variation (CV)0.7057748715
Kurtosis2.67322988
Mean12.2078373
Median Absolute Deviation (MAD)5
Skewness0.8174428122
Sum24611
Variance74.23519413
MonotonicityNot monotonic
2022-06-09T08:57:06.323077image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
10445
 
5.3%
20423
 
5.0%
0316
 
3.8%
5284
 
3.4%
15252
 
3.0%
25104
 
1.2%
1435
 
0.4%
1830
 
0.4%
3028
 
0.3%
1721
 
0.3%
Other values (5)78
 
0.9%
(Missing)6362
75.9%
ValueCountFrequency (%)
0316
3.8%
410
 
0.1%
5284
3.4%
918
 
0.2%
10445
5.3%
ValueCountFrequency (%)
5514
 
0.2%
3028
 
0.3%
2718
 
0.2%
25104
 
1.2%
20423
5.0%

attr4_3
Real number (ℝ≥0)

MISSING

Distinct23
Distinct (%)0.8%
Missing5419
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean25.61034133
Minimum0
Maximum80
Zeros9
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:06.384155image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q110
median20
Q337
95-th percentile60
Maximum80
Range80
Interquartile range (IQR)27

Descriptive statistics

Standard deviation17.47713394
Coefficient of variation (CV)0.6824248734
Kurtosis0.5677428599
Mean25.61034133
Median Absolute Deviation (MAD)10
Skewness1.034183785
Sum75781
Variance305.4502108
MonotonicityNot monotonic
2022-06-09T08:57:06.447284image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20375
 
4.5%
30371
 
4.4%
40281
 
3.4%
25279
 
3.3%
9261
 
3.1%
10259
 
3.1%
8193
 
2.3%
50182
 
2.2%
7180
 
2.1%
60139
 
1.7%
Other values (13)439
 
5.2%
(Missing)5419
64.7%
ValueCountFrequency (%)
09
 
0.1%
650
 
0.6%
7180
2.1%
8193
2.3%
9261
3.1%
ValueCountFrequency (%)
8044
 
0.5%
7521
 
0.3%
7028
 
0.3%
60139
1.7%
50182
2.2%

sinc4_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct16
Distinct (%)0.5%
Missing5419
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean10.75126732
Minimum0
Maximum40
Zeros138
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:06.513229image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median10
Q315
95-th percentile20
Maximum40
Range40
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.740351365
Coefficient of variation (CV)0.5339232291
Kurtosis1.630850416
Mean10.75126732
Median Absolute Deviation (MAD)4
Skewness0.8027913913
Sum31813
Variance32.95163379
MonotonicityNot monotonic
2022-06-09T08:57:06.574816image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
10795
 
9.5%
15448
 
5.3%
20385
 
4.6%
7354
 
4.2%
5260
 
3.1%
8147
 
1.8%
9143
 
1.7%
0138
 
1.6%
6128
 
1.5%
340
 
0.5%
Other values (6)121
 
1.4%
(Missing)5419
64.7%
ValueCountFrequency (%)
0138
1.6%
340
 
0.5%
420
 
0.2%
5260
3.1%
6128
1.5%
ValueCountFrequency (%)
409
 
0.1%
3018
 
0.2%
2218
 
0.2%
20385
4.6%
1821
 
0.3%

intel4_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct16
Distinct (%)0.5%
Missing5419
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean11.52483947
Minimum0
Maximum30
Zeros93
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:06.639991image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q17
median10
Q315
95-th percentile20
Maximum30
Range30
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.00422221
Coefficient of variation (CV)0.5209809841
Kurtosis-0.4131763886
Mean11.52483947
Median Absolute Deviation (MAD)5
Skewness0.4962699196
Sum34102
Variance36.05068435
MonotonicityNot monotonic
2022-06-09T08:57:06.694382image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
10659
 
7.9%
20533
 
6.4%
15433
 
5.2%
7351
 
4.2%
5274
 
3.3%
6193
 
2.3%
8161
 
1.9%
093
 
1.1%
961
 
0.7%
2560
 
0.7%
Other values (6)141
 
1.7%
(Missing)5419
64.7%
ValueCountFrequency (%)
093
 
1.1%
320
 
0.2%
416
 
0.2%
5274
3.3%
6193
2.3%
ValueCountFrequency (%)
3021
 
0.3%
2560
 
0.7%
20533
6.4%
1742
 
0.5%
1621
 
0.3%

fun4_3
Real number (ℝ≥0)

MISSING

Distinct15
Distinct (%)0.5%
Missing5419
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean14.2767827
Minimum0
Maximum30
Zeros68
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:06.755222image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q19
median12
Q320
95-th percentile25
Maximum30
Range30
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.927869337
Coefficient of variation (CV)0.48525424
Kurtosis-0.6784209445
Mean14.2767827
Median Absolute Deviation (MAD)5
Skewness0.3466150999
Sum42245
Variance47.99537355
MonotonicityNot monotonic
2022-06-09T08:57:06.814551image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20821
 
9.8%
10559
 
6.7%
8379
 
4.5%
15277
 
3.3%
9192
 
2.3%
25187
 
2.2%
30121
 
1.4%
7115
 
1.4%
6106
 
1.3%
068
 
0.8%
Other values (5)134
 
1.6%
(Missing)5419
64.7%
ValueCountFrequency (%)
068
0.8%
310
 
0.1%
543
 
0.5%
6106
1.3%
7115
1.4%
ValueCountFrequency (%)
30121
 
1.4%
25187
 
2.2%
20821
9.8%
1842
 
0.5%
1721
 
0.3%

amb4_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct20
Distinct (%)0.7%
Missing5419
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean9.207502535
Minimum0
Maximum40
Zeros290
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:06.879819image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median9
Q310
95-th percentile20
Maximum40
Range40
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.385851963
Coefficient of variation (CV)0.6935487597
Kurtosis3.958097802
Mean9.207502535
Median Absolute Deviation (MAD)3
Skewness1.466564831
Sum27245
Variance40.77910529
MonotonicityNot monotonic
2022-06-09T08:57:06.945377image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
10773
 
9.2%
5446
 
5.3%
0290
 
3.5%
15272
 
3.2%
7216
 
2.6%
8201
 
2.4%
20164
 
2.0%
6161
 
1.9%
9144
 
1.7%
3057
 
0.7%
Other values (10)235
 
2.8%
(Missing)5419
64.7%
ValueCountFrequency (%)
0290
3.5%
120
 
0.2%
220
 
0.2%
356
 
0.7%
420
 
0.2%
ValueCountFrequency (%)
4019
 
0.2%
3057
 
0.7%
2519
 
0.2%
20164
2.0%
1818
 
0.2%

shar4_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct16
Distinct (%)0.5%
Missing5419
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean11.25380196
Minimum0
Maximum45
Zeros131
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:07.012587image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median10
Q315
95-th percentile20
Maximum45
Range45
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.516178304
Coefficient of variation (CV)0.5790201682
Kurtosis2.625137745
Mean11.25380196
Median Absolute Deviation (MAD)5
Skewness1.081168206
Sum33300
Variance42.46057969
MonotonicityNot monotonic
2022-06-09T08:57:07.071203image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
10651
 
7.8%
15442
 
5.3%
20386
 
4.6%
5304
 
3.6%
8255
 
3.0%
6243
 
2.9%
7191
 
2.3%
0131
 
1.6%
9118
 
1.4%
2593
 
1.1%
Other values (6)145
 
1.7%
(Missing)5419
64.7%
ValueCountFrequency (%)
0131
1.6%
120
 
0.2%
410
 
0.1%
5304
3.6%
6243
2.9%
ValueCountFrequency (%)
4514
 
0.2%
3024
 
0.3%
2593
 
1.1%
20386
4.6%
1756
 
0.7%

attr2_3
Real number (ℝ≥0)

MISSING

Distinct23
Distinct (%)0.8%
Missing5419
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean24.97093613
Minimum5
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:07.132488image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7
Q110
median20
Q335
95-th percentile60
Maximum80
Range75
Interquartile range (IQR)25

Descriptive statistics

Standard deviation17.0076694
Coefficient of variation (CV)0.6810985904
Kurtosis0.659480536
Mean24.97093613
Median Absolute Deviation (MAD)10
Skewness1.068928088
Sum73889
Variance289.2608183
MonotonicityNot monotonic
2022-06-09T08:57:07.191413image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20394
 
4.7%
30319
 
3.8%
9314
 
3.7%
25301
 
3.6%
40241
 
2.9%
10226
 
2.7%
50215
 
2.6%
8208
 
2.5%
15165
 
2.0%
60120
 
1.4%
Other values (13)456
 
5.4%
(Missing)5419
64.7%
ValueCountFrequency (%)
526
 
0.3%
666
 
0.8%
7112
 
1.3%
8208
2.5%
9314
3.7%
ValueCountFrequency (%)
8046
 
0.5%
7022
 
0.3%
6514
 
0.2%
60120
1.4%
50215
2.6%

sinc2_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct13
Distinct (%)0.4%
Missing5419
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean10.92328489
Minimum0
Maximum50
Zeros196
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:07.248820image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median10
Q315
95-th percentile20
Maximum50
Range50
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.226282535
Coefficient of variation (CV)0.5700009288
Kurtosis3.563790311
Mean10.92328489
Median Absolute Deviation (MAD)4
Skewness0.9456343211
Sum32322
Variance38.76659421
MonotonicityNot monotonic
2022-06-09T08:57:07.305094image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
10667
 
8.0%
20517
 
6.2%
15407
 
4.9%
7279
 
3.3%
5261
 
3.1%
8253
 
3.0%
0196
 
2.3%
6148
 
1.8%
9138
 
1.6%
1635
 
0.4%
Other values (3)58
 
0.7%
(Missing)5419
64.7%
ValueCountFrequency (%)
0196
2.3%
320
 
0.2%
5261
3.1%
6148
1.8%
7279
3.3%
ValueCountFrequency (%)
509
 
0.1%
2529
 
0.3%
20517
6.2%
1635
 
0.4%
15407
4.9%

intel2_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct17
Distinct (%)0.6%
Missing5419
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean11.95268672
Minimum0
Maximum60
Zeros132
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:07.363825image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median10
Q315
95-th percentile20
Maximum60
Range60
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.010650068
Coefficient of variation (CV)0.5865334074
Kurtosis9.784613774
Mean11.95268672
Median Absolute Deviation (MAD)5
Skewness1.858160011
Sum35368
Variance49.14921438
MonotonicityNot monotonic
2022-06-09T08:57:07.419151image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
10625
 
7.5%
15511
 
6.1%
20486
 
5.8%
7321
 
3.8%
8266
 
3.2%
5172
 
2.1%
0132
 
1.6%
6131
 
1.6%
992
 
1.1%
2560
 
0.7%
Other values (7)163
 
1.9%
(Missing)5419
64.7%
ValueCountFrequency (%)
0132
1.6%
445
 
0.5%
5172
2.1%
6131
1.6%
7321
3.8%
ValueCountFrequency (%)
6015
 
0.2%
3031
0.4%
2560
0.7%
2321
 
0.3%
229
 
0.1%

fun2_3
Real number (ℝ≥0)

MISSING

Distinct16
Distinct (%)0.5%
Missing5419
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean14.95910781
Minimum0
Maximum40
Zeros82
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:07.480817image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median15
Q320
95-th percentile30
Maximum40
Range40
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.935508563
Coefficient of variation (CV)0.5304800705
Kurtosis0.7711728647
Mean14.95910781
Median Absolute Deviation (MAD)5
Skewness0.7423550451
Sum44264
Variance62.97229616
MonotonicityNot monotonic
2022-06-09T08:57:08.007819image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20880
 
10.5%
10509
 
6.1%
8302
 
3.6%
15256
 
3.1%
9226
 
2.7%
25215
 
2.6%
7178
 
2.1%
082
 
1.0%
4077
 
0.9%
3074
 
0.9%
Other values (6)160
 
1.9%
(Missing)5419
64.7%
ValueCountFrequency (%)
082
1.0%
310
 
0.1%
420
 
0.2%
552
0.6%
636
0.4%
ValueCountFrequency (%)
4077
 
0.9%
3074
 
0.9%
25215
 
2.6%
20880
10.5%
1921
 
0.3%

amb2_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct17
Distinct (%)0.6%
Missing5419
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean9.526191281
Minimum0
Maximum50
Zeros296
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:08.069159image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median10
Q310
95-th percentile20
Maximum50
Range50
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.40311685
Coefficient of variation (CV)0.6721591727
Kurtosis10.30421577
Mean9.526191281
Median Absolute Deviation (MAD)3
Skewness2.078508498
Sum28188
Variance40.9999054
MonotonicityNot monotonic
2022-06-09T08:57:08.129690image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
10878
 
10.5%
15314
 
3.7%
0296
 
3.5%
5275
 
3.3%
7251
 
3.0%
8214
 
2.6%
20208
 
2.5%
9190
 
2.3%
6136
 
1.6%
459
 
0.7%
Other values (7)138
 
1.6%
(Missing)5419
64.7%
ValueCountFrequency (%)
0296
3.5%
220
 
0.2%
310
 
0.1%
459
 
0.7%
5275
3.3%
ValueCountFrequency (%)
5021
 
0.3%
3010
 
0.1%
2542
 
0.5%
20208
2.5%
15314
3.7%

shar2_3
Real number (ℝ≥0)

MISSING
ZEROS

Distinct12
Distinct (%)0.6%
Missing6362
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean11.96626984
Minimum0
Maximum45
Zeros154
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:08.189648image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median10
Q315
95-th percentile20
Maximum45
Range45
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.012067102
Coefficient of variation (CV)0.585986042
Kurtosis2.281125324
Mean11.96626984
Median Absolute Deviation (MAD)5
Skewness0.7744747697
Sum24124
Variance49.16908504
MonotonicityNot monotonic
2022-06-09T08:57:08.244117image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
10669
 
8.0%
15367
 
4.4%
5341
 
4.1%
20324
 
3.9%
0154
 
1.8%
2556
 
0.7%
1835
 
0.4%
3018
 
0.2%
4514
 
0.2%
1914
 
0.2%
Other values (2)24
 
0.3%
(Missing)6362
75.9%
ValueCountFrequency (%)
0154
 
1.8%
410
 
0.1%
5341
4.1%
10669
8.0%
15367
4.4%
ValueCountFrequency (%)
4514
 
0.2%
3018
 
0.2%
2556
 
0.7%
20324
3.9%
1914
 
0.2%

attr3_3
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)0.3%
Missing4404
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean7.240312028
Minimum2
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:08.298749image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median7
Q38
95-th percentile9
Maximum12
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.576595594
Coefficient of variation (CV)0.2177524377
Kurtosis2.128595212
Mean7.240312028
Median Absolute Deviation (MAD)1
Skewness-0.04650844706
Sum28773
Variance2.485653666
MonotonicityNot monotonic
2022-06-09T08:57:08.355410image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
71302
 
15.5%
81102
 
13.2%
6564
 
6.7%
9463
 
5.5%
5201
 
2.4%
4118
 
1.4%
12112
 
1.3%
355
 
0.7%
233
 
0.4%
1024
 
0.3%
(Missing)4404
52.6%
ValueCountFrequency (%)
233
 
0.4%
355
 
0.7%
4118
 
1.4%
5201
 
2.4%
6564
6.7%
ValueCountFrequency (%)
12112
 
1.3%
1024
 
0.3%
9463
 
5.5%
81102
13.2%
71302
15.5%

sinc3_3
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)0.3%
Missing4404
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean8.093356819
Minimum2
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:08.411972image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q17
median8
Q39
95-th percentile10
Maximum12
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.610308835
Coefficient of variation (CV)0.1989667416
Kurtosis1.541482336
Mean8.093356819
Median Absolute Deviation (MAD)1
Skewness-0.2766687471
Sum32163
Variance2.593094543
MonotonicityNot monotonic
2022-06-09T08:57:08.468688image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
81204
 
14.4%
91031
 
12.3%
7660
 
7.9%
10368
 
4.4%
6343
 
4.1%
12173
 
2.1%
5110
 
1.3%
336
 
0.4%
431
 
0.4%
218
 
0.2%
(Missing)4404
52.6%
ValueCountFrequency (%)
218
 
0.2%
336
 
0.4%
431
 
0.4%
5110
 
1.3%
6343
4.1%
ValueCountFrequency (%)
12173
 
2.1%
10368
 
4.4%
91031
12.3%
81204
14.4%
7660
7.9%

intel3_3
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.2%
Missing4404
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean8.388777051
Minimum3
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:08.523812image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q18
median8
Q39
95-th percentile12
Maximum12
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.459094004
Coefficient of variation (CV)0.1739340544
Kurtosis1.869039263
Mean8.388777051
Median Absolute Deviation (MAD)1
Skewness0.002614622719
Sum33337
Variance2.128955312
MonotonicityNot monotonic
2022-06-09T08:57:08.574266image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
81338
 
16.0%
91322
 
15.8%
7510
 
6.1%
10288
 
3.4%
12233
 
2.8%
6137
 
1.6%
5105
 
1.3%
322
 
0.3%
419
 
0.2%
(Missing)4404
52.6%
ValueCountFrequency (%)
322
 
0.3%
419
 
0.2%
5105
 
1.3%
6137
 
1.6%
7510
6.1%
ValueCountFrequency (%)
12233
 
2.8%
10288
 
3.4%
91322
15.8%
81338
16.0%
7510
 
6.1%

fun3_3
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)0.3%
Missing4404
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean7.658782084
Minimum2
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:08.629254image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q17
median8
Q39
95-th percentile10
Maximum12
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.74466996
Coefficient of variation (CV)0.2277999219
Kurtosis1.564806054
Mean7.658782084
Median Absolute Deviation (MAD)1
Skewness-0.2823738834
Sum30436
Variance3.043873271
MonotonicityNot monotonic
2022-06-09T08:57:08.685173image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
81065
 
12.7%
7986
 
11.8%
9749
 
8.9%
6452
 
5.4%
10238
 
2.8%
5193
 
2.3%
12153
 
1.8%
260
 
0.7%
352
 
0.6%
426
 
0.3%
(Missing)4404
52.6%
ValueCountFrequency (%)
260
 
0.7%
352
 
0.6%
426
 
0.3%
5193
2.3%
6452
5.4%
ValueCountFrequency (%)
12153
 
1.8%
10238
 
2.8%
9749
8.9%
81065
12.7%
7986
11.8%

amb3_3
Real number (ℝ≥0)

MISSING

Distinct11
Distinct (%)0.3%
Missing4404
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean7.391545043
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:08.742096image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median8
Q39
95-th percentile10
Maximum12
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.961417164
Coefficient of variation (CV)0.2653595632
Kurtosis0.48198623
Mean7.391545043
Median Absolute Deviation (MAD)1
Skewness-0.2934973253
Sum29374
Variance3.84715729
MonotonicityNot monotonic
2022-06-09T08:57:08.795925image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
7870
 
10.4%
8862
 
10.3%
9839
 
10.0%
6422
 
5.0%
5299
 
3.6%
4207
 
2.5%
10185
 
2.2%
12147
 
1.8%
391
 
1.1%
243
 
0.5%
(Missing)4404
52.6%
ValueCountFrequency (%)
19
 
0.1%
243
 
0.5%
391
 
1.1%
4207
2.5%
5299
3.6%
ValueCountFrequency (%)
12147
 
1.8%
10185
 
2.2%
9839
10.0%
8862
10.3%
7870
10.4%

attr5_3
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.4%
Missing6362
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean6.810019841
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:08.851126image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median7
Q38
95-th percentile9
Maximum10
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.507341439
Coefficient of variation (CV)0.2213417103
Kurtosis1.558135661
Mean6.810019841
Median Absolute Deviation (MAD)1
Skewness-0.9561557768
Sum13729
Variance2.272078213
MonotonicityNot monotonic
2022-06-09T08:57:08.906560image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
7747
 
8.9%
6413
 
4.9%
8388
 
4.6%
9192
 
2.3%
592
 
1.1%
470
 
0.8%
346
 
0.5%
246
 
0.5%
1022
 
0.3%
(Missing)6362
75.9%
ValueCountFrequency (%)
246
 
0.5%
346
 
0.5%
470
 
0.8%
592
 
1.1%
6413
4.9%
ValueCountFrequency (%)
1022
 
0.3%
9192
 
2.3%
8388
4.6%
7747
8.9%
6413
4.9%

sinc5_3
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.4%
Missing6362
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean7.615079365
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:08.962843image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q17
median8
Q39
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.504550845
Coefficient of variation (CV)0.1975752021
Kurtosis0.7946494717
Mean7.615079365
Median Absolute Deviation (MAD)1
Skewness-0.8369150524
Sum15352
Variance2.263673244
MonotonicityNot monotonic
2022-06-09T08:57:09.016097image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8561
 
6.7%
9504
 
6.0%
7440
 
5.3%
6173
 
2.1%
5150
 
1.8%
10124
 
1.5%
443
 
0.5%
215
 
0.2%
36
 
0.1%
(Missing)6362
75.9%
ValueCountFrequency (%)
215
 
0.2%
36
 
0.1%
443
 
0.5%
5150
1.8%
6173
2.1%
ValueCountFrequency (%)
10124
 
1.5%
9504
6.0%
8561
6.7%
7440
5.3%
6173
 
2.1%

intel5_3
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)0.3%
Missing6362
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean7.932539683
Minimum4
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:09.070173image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q17
median8
Q39
95-th percentile10
Maximum10
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.340868464
Coefficient of variation (CV)0.1690339434
Kurtosis-0.3308730264
Mean7.932539683
Median Absolute Deviation (MAD)1
Skewness-0.3070712745
Sum15992
Variance1.797928237
MonotonicityNot monotonic
2022-06-09T08:57:09.118095image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8542
 
6.5%
9457
 
5.5%
7454
 
5.4%
10268
 
3.2%
6232
 
2.8%
541
 
0.5%
422
 
0.3%
(Missing)6362
75.9%
ValueCountFrequency (%)
422
 
0.3%
541
 
0.5%
6232
2.8%
7454
5.4%
8542
6.5%
ValueCountFrequency (%)
10268
3.2%
9457
5.5%
8542
6.5%
7454
5.4%
6232
2.8%

fun5_3
Real number (ℝ≥0)

MISSING

Distinct10
Distinct (%)0.5%
Missing6362
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean7.155257937
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:09.171379image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q16
median7
Q38
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.672786752
Coefficient of variation (CV)0.2337842698
Kurtosis1.634024967
Mean7.155257937
Median Absolute Deviation (MAD)1
Skewness-0.7334330098
Sum14425
Variance2.798215517
MonotonicityNot monotonic
2022-06-09T08:57:09.220985image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7545
 
6.5%
8441
 
5.3%
6346
 
4.1%
9250
 
3.0%
5216
 
2.6%
10155
 
1.9%
127
 
0.3%
215
 
0.2%
315
 
0.2%
46
 
0.1%
(Missing)6362
75.9%
ValueCountFrequency (%)
127
 
0.3%
215
 
0.2%
315
 
0.2%
46
 
0.1%
5216
2.6%
ValueCountFrequency (%)
10155
 
1.9%
9250
3.0%
8441
5.3%
7545
6.5%
6346
4.1%

amb5_3
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)0.4%
Missing6362
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean7.048611111
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.6 KiB
2022-06-09T08:57:09.272670image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median7
Q38
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.717987759
Coefficient of variation (CV)0.243734224
Kurtosis1.196245876
Mean7.048611111
Median Absolute Deviation (MAD)1
Skewness-0.7219980259
Sum14210
Variance2.951481941
MonotonicityNot monotonic
2022-06-09T08:57:09.321380image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
7610
 
7.3%
8384
 
4.6%
6328
 
3.9%
9259
 
3.1%
5161
 
1.9%
10133
 
1.6%
485
 
1.0%
238
 
0.5%
118
 
0.2%
(Missing)6362
75.9%
ValueCountFrequency (%)
118
 
0.2%
238
 
0.5%
485
 
1.0%
5161
1.9%
6328
3.9%
ValueCountFrequency (%)
10133
 
1.6%
9259
3.1%
8384
4.6%
7610
7.3%
6328
3.9%